Biomedical Computing For Breast Cancer Detection And Diagnosis

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Biomedical Computing for Breast Cancer Detection and Diagnosis

Author : Pinheiro dos Santos, Wellington
Publisher : IGI Global
ISBN 13 : 1799834573
Total Pages : 357 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Biomedical Computing for Breast Cancer Detection and Diagnosis by : Pinheiro dos Santos, Wellington

Download or read book Biomedical Computing for Breast Cancer Detection and Diagnosis written by Pinheiro dos Santos, Wellington and published by IGI Global. This book was released on 2020-07-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.

Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis

Author : Pranjal Chandra
Publisher : Springer
ISBN 13 : 981104726X
Total Pages : 396 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis by : Pranjal Chandra

Download or read book Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis written by Pranjal Chandra and published by Springer. This book was released on 2017-12-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research on cancer detection methods based on nanobiosensors, which offer ultrasensitive point-of-care diagnosis. Several methods for diagnosing cancer have been discovered and many more are currently being developed. Conventional clinical approaches to detecting cancers are based on a biopsy followed by histopathology, or on the use of biomarkers (protein levels or nucleic acid content). Biopsy is the most widely used technique; however, it is an invasive technique and is not always applicable. Furthermore, biomarker-based detection cannot be relied on when the biomarkers are present in an extremely low concentration in the body fluids and in malignant tissues. Thus, in recent years highly sensitive and robust new cancer diagnosis techniques have been developed for clinical application, and may offer an alternative strategy for cancer diagnosis. As such, this book gathers the latest point-of-care cancer diagnostic methods and protocols based on biomedical sensors, microfluidics, and integrated systems engineering. It also discusses recent developments and diagnostics tests that can be conducted outside the laboratory in remote areas. These technologies include electrochemical sensors, paper-based microfluidics, and other kit-based diagnostic methods that can be adapted to bring cancer detection and diagnostics to more remote settings around the globe. Overall, the book provides students, researchers, and clinicians alike a comprehensive overview of interdisciplinary approaches to cancer diagnosis.

Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer

Author : Paola Casti
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731576
Total Pages : 188 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer by : Paola Casti

Download or read book Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer written by Paola Casti and published by Morgan & Claypool Publishers. This book was released on 2017-07-06 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral asymmetry as an early sign of breast disease which is not detectable by other existing approaches; and (2) the detection and classification of masses and regions of architectural distortion, as benign lesions or malignant tumors, in a unified framework that does not require accurate extraction of the contours of the lesions. The innovative aspects of the work include the design and validation of landmarking algorithms, automatic Tabár masking procedures, and various feature descriptors for quantification of similarity and for contour independent classification of mammographic lesions. Characterization of breast tissue patterns is achieved by means of multidirectional Gabor filters. For the classification tasks, pattern recognition strategies, including Fisher linear discriminant analysis, Bayesian classifiers, support vector machines, and neural networks are applied using automatic selection of features and cross-validation techniques. Computer-aided detection of bilateral asymmetry resulted in accuracy up to 0.94, with sensitivity and specificity of 1 and 0.88, respectively. Computer-aided diagnosis of automatically detected lesions provided sensitivity of detection of malignant tumors in the range of [0.70, 0.81] at a range of falsely detected tumors of [0.82, 3.47] per image. The techniques presented in this work are effective in detecting and characterizing various mammographic signs of breast disease.

Computer-aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer

Author : Shantanu Banik
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627050833
Total Pages : 195 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Computer-aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer by : Shantanu Banik

Download or read book Computer-aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer written by Shantanu Banik and published by Morgan & Claypool Publishers. This book was released on 2013-01-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architectural distortion is an important and early sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening mammograms. Screening mammograms obtained prior to the detection of cancer could contain subtle signs of early stages of breast cancer, in particular, architectural distortion. This book presents image processing and pattern recognition techniques to detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis, procedures for the analysis of the angular spread of power, fractal analysis, Laws' texture energy measures derived from geometrically transformed regions of interest (ROIs), and Haralick's texture features. With Gabor filters and phase-portrait analysis, 4,224 ROIs were automatically obtained from 106 prior mammograms of 56 interval-cancer cases, including 301 true-positive ROIs related to architectural distortion, and from 52 mammograms of 13 normal cases. For each ROI, the fractal dimension, the entropy of the angular spread of power, 10 Laws' texture energy measures, and Haralick's 14 texture features were computed. The areas under the receiver operating characteristic (ROC) curves obtained using the features selected by stepwise logistic regression and the leave-one-image-out method are 0.77 with the Bayesian classifier, 0.76 with Fisher linear discriminant analysis, and 0.79 with a neural network classifier. Free-response ROC analysis indicated sensitivities of 0.80 and 0.90 at 5.7 and 8.8 false positives (FPs) per image, respectively, with the Bayesian classifier and the leave-one-image-out method. The present study has demonstrated the ability to detect early signs of breast cancer 15 months ahead of the time of clinical diagnosis, on the average, for interval-cancer cases, with a sensitivity of 0.8 at 5.7 FP/image. The presented computer-aided detection techniques, dedicated to accurate detection and localization of architectural distortion, could lead to efficient detection of early and subtle signs of breast cancer at pre-mass-formation stages. Table of Contents: Introduction / Detection of Early Signs of Breast Cancer / Detection and Analysis of Oriented Patterns / Detection of Potential Sites of Architectural Distortion / Experimental Set Up and Datasets / Feature Selection and Pattern Classification / Analysis of Oriented Patterns Related to Architectural Distortion / Detection of Architectural Distortion in Prior Mammograms / Concluding Remarks

Human Cancer Diagnosis and Detection Using Exascale Computing

Author : Kapil Joshi
Publisher : John Wiley & Sons
ISBN 13 : 1394197675
Total Pages : 340 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Human Cancer Diagnosis and Detection Using Exascale Computing by : Kapil Joshi

Download or read book Human Cancer Diagnosis and Detection Using Exascale Computing written by Kapil Joshi and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Cancer Diagnosis and Detection Using Exascale Computing The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.

Computational Analysis and Deep Learning for Medical Care

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1119785723
Total Pages : 532 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Computational Analysis and Deep Learning for Medical Care by : Amit Kumar Tyagi

Download or read book Computational Analysis and Deep Learning for Medical Care written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.

Saving Women's Lives

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309181526
Total Pages : 144 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Saving Women's Lives by : National Research Council

Download or read book Saving Women's Lives written by National Research Council and published by National Academies Press. This book was released on 2004-11-18 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report The Breast Cancer Research Foundation (BCRF) and the Institute of Medicine (IOM) present a one-day symposium that was held at the IOM to further disseminate the conclusions and recommendations of the joint IOM and National Research Council report, Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis. The committee assembled for this event was asked to share insights and consider ways in which the objectives of the report could be achieved from the standpoint of what women need to know, the best models of screening programs, manpower, risk stratification, basic research, and payment. This symposium seeks to provide continuing food for thought and ideas for actions in support of breast cancer detection and diagnosis and saving women's lives.

Mammography and Beyond

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 9780309171311
Total Pages : 312 pages
Book Rating : 4.1/5 (713 download)

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Book Synopsis Mammography and Beyond by : National Research Council

Download or read book Mammography and Beyond written by National Research Council and published by National Academies Press. This book was released on 2001-07-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each year more than 180,000 new cases of breast cancer are diagnosed in women in the U.S. If cancer is detected when small and local, treatment options are less dangerous, intrusive, and costly-and more likely to lead to a cure. Yet those simple facts belie the complexity of developing and disseminating acceptable techniques for breast cancer diagnosis. Even the most exciting new technologies remain clouded with uncertainty. Mammography and Beyond provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible. This book reviews the dramatic expansion of breast cancer awareness and screening, examining the capabilities and limitations of current and emerging technologies for breast cancer detection and their effectiveness at actually reducing deaths. The committee discusses issues including national policy toward breast cancer detection, roles of public and private agencies, problems in determining the success of a technique, availability of detection methods to specific populations of women, women's experience during the detection process, cost-benefit analyses, and more. Examining current practices and specifying research and other needs, Mammography and Beyond will be an indispensable resource to policy makers, public health officials, medical practitioners, researchers, women's health advocates, and concerned women and their families.

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

Author : R. N. G. Naguib
Publisher : CRC Press
ISBN 13 : 1420036386
Total Pages : 216 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management by : R. N. G. Naguib

Download or read book Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management written by R. N. G. Naguib and published by CRC Press. This book was released on 2001-06-22 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers - primaril

Bioinformatics and Biomedical Engineering

Author : Ignacio Rojas
Publisher : Springer Nature
ISBN 13 : 3030453855
Total Pages : 843 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Bioinformatics and Biomedical Engineering by : Ignacio Rojas

Download or read book Bioinformatics and Biomedical Engineering written by Ignacio Rojas and published by Springer Nature. This book was released on 2020-04-30 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020. The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems.

Saving Women's Lives

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309165946
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Saving Women's Lives by : National Research Council

Download or read book Saving Women's Lives written by National Research Council and published by National Academies Press. This book was released on 2005-03-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The outlook for women with breast cancer has improved in recent years. Due to the combination of improved treatments and the benefits of mammography screening, breast cancer mortality has decreased steadily since 1989. Yet breast cancer remains a major problem, second only to lung cancer as a leading cause of death from cancer for women. To date, no means to prevent breast cancer has been discovered and experience has shown that treatments are most effective when a cancer is detected early, before it has spread to other tissues. These two facts suggest that the most effective way to continue reducing the death toll from breast cancer is improved early detection and diagnosis. Building on the 2001 report Mammography and Beyond, this new book not only examines ways to improve implementation and use of new and current breast cancer detection technologies but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques. In this way, methods and technologies that improve detection and diagnosis can be more effectively developed and implemented.

Saving Women's Lives

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309092132
Total Pages : 385 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Saving Women's Lives by : National Research Council

Download or read book Saving Women's Lives written by National Research Council and published by National Academies Press. This book was released on 2005-04-18 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: The outlook for women with breast cancer has improved in recent years. Due to the combination of improved treatments and the benefits of mammography screening, breast cancer mortality has decreased steadily since 1989. Yet breast cancer remains a major problem, second only to lung cancer as a leading cause of death from cancer for women. To date, no means to prevent breast cancer has been discovered and experience has shown that treatments are most effective when a cancer is detected early, before it has spread to other tissues. These two facts suggest that the most effective way to continue reducing the death toll from breast cancer is improved early detection and diagnosis. Building on the 2001 report Mammography and Beyond, this new book not only examines ways to improve implementation and use of new and current breast cancer detection technologies but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques. In this way, methods and technologies that improve detection and diagnosis can be more effectively developed and implemented.

Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis

Author : Ashlesha Jain
Publisher : World Scientific
ISBN 13 : 9814492671
Total Pages : 348 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis by : Ashlesha Jain

Download or read book Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis written by Ashlesha Jain and published by World Scientific. This book was released on 2000-08-21 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages — such as adaptation, fault tolerance, learning and human-like behavior — over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA. Contents:An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence (N Harbeck et al.)Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer (M J Bottema et al.)Decision Support in Breast Cancer: Recent Advances in Prognostic and Predictive Techniques (R Kates et al.)MammoNet: A Bayesian Network Diagnosing Breast Cancer (L M Roberts)Predicting Prognosis and Treatment Response in Breast Cancer Patients (M G Daidone & D Coradini)Computer-Aided Breast Cancer Diagnosis (H-P Chan et al.)Which Decision Support Technologies are Appropriate for the Cytodiagnosis of Breast Cancer? (S S Cross et al.)Xcyt: A System for Remote Cytological Diagnosis and Prognosis of Breast Cancer (W N Street) Readership: Medical practitioners, researchers and graduate students. Keywords:Artificial Intelligence;Soft Computing;Breast Cancer;Diagnosis;Prognosis;Fuzzy Systems;Neural NetworksReviews:“The editors have done an excellent job of putting together a book that highlights the advances and controversies that surround the subject … The book will be of particular interest to clinical decision support systems designers and academic oncologists.”Cancer Forum

Computer-aided Cancer Detection and Diagnosis

Author : Jinshan Tang
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 : 9780819497390
Total Pages : 360 pages
Book Rating : 4.4/5 (973 download)

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Book Synopsis Computer-aided Cancer Detection and Diagnosis by : Jinshan Tang

Download or read book Computer-aided Cancer Detection and Diagnosis written by Jinshan Tang and published by SPIE-International Society for Optical Engineering. This book was released on 2014 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate imaging of cancerous tissue is a critical step in the fight to lower cancer mortality rates, and computer-aided detection and diagnosis (CAD) technologies play a key role. Over the last three decades, the field of diagnostic cancer imaging has witnessed a remarkable evolution that has affected virtually every aspect of research and clinical management of cancer. This book discusses recent high-quality research in key technologies used in CAD systems; the 11 chapters cover different types of cancers (including skin, breast, prostate, and colon cancer) and different scientific fields (such as biomedicine, imaging, image processing, pattern recognition, and system analysis) to further the major goals of current cancer imaging: • Provide more reliable disease characterization through the synthesis of anatomic, functional, and molecular imaging information; • Refine and optimize imaging capabilities in oncology; • Establish new imaging modalities and findings, and discover the potential use of these techniques; • Find more individualized assessment of tumor biology, personalized treatments, and response to treatment; • Develop image-processing-based cancer control systems; and • Explore imaging capabilities and strategies to streamline cancer drug development.

Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer

Author : Denise Guliato
Publisher : Springer Nature
ISBN 13 : 303179429X
Total Pages : 75 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer by : Denise Guliato

Download or read book Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer written by Denise Guliato and published by Springer Nature. This book was released on 2022-05-31 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and artifact-free boundaries of the related regions from mammograms. Whereas manually drawn contours could contain artifacts related to hand tremor and are subject to intra-observer and inter-observer variations, automatically detected contours could contain noise and inaccuracies due to limitations or errors in the procedures for the detection and segmentation of the related regions. Modeling procedures are desired to eliminate the artifacts in a given contour, while preserving the important and significant details present in the contour. This book presents polygonal modeling methods that reduce the influence of noise and artifacts while preserving the diagnostically relevant features, in particular the spicules and lobulations in the given contours. In order to facilitate the derivation of features that capture the characteristics of shape roughness of contours of breast masses, methods to derive a signature based on the turning angle function obtained from the polygonal model are described. Methods are also described to derive an index of spiculation, an index characterizing the presence of convex regions, an index characterizing the presence of concave regions, an index of convexity, and a measure of fractal dimension from the turning angle function. Results of testing the methods with a set of 111 contours of 65 benign masses and 46 malignant tumors are presented and discussed. It is shown that shape modeling and analysis can lead to classification accuracy in discriminating between benign masses and malignant tumors, in terms of the area under the receiver operating characteristic curve, of up to 0.94. The methods have applications in modeling and analysis of the shape of various types of regions or objects in images, computer vision, computer graphics, and analysis of biomedical images, with particular significance in computer-aided diagnosis of breast cancer. Table of Contents: Analysis of Shape / Polygonal Modeling of Contours / Shape Factors for Pattern Classification / Classification of Breast Masses

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Author : Khalid Shaikh
Publisher : Springer Nature
ISBN 13 : 3030592081
Total Pages : 107 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial Intelligence in Breast Cancer Early Detection and Diagnosis by : Khalid Shaikh

Download or read book Artificial Intelligence in Breast Cancer Early Detection and Diagnosis written by Khalid Shaikh and published by Springer Nature. This book was released on 2020-12-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics

Advances in Medical Diagnostic Technology

Author : Khin Wee Lai
Publisher : Springer Science & Business Media
ISBN 13 : 9814585726
Total Pages : 188 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Advances in Medical Diagnostic Technology by : Khin Wee Lai

Download or read book Advances in Medical Diagnostic Technology written by Khin Wee Lai and published by Springer Science & Business Media. This book was released on 2014-03-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most recent findings and knowledge in advanced diagnostics technology, covering a wide spectrum including brain activity analysis, breast and lung cancer detection, echocardiography, computer aided skeletal assessment to mitochondrial biology imaging at the cellular level. The authors explored magneto acoustic approaches and tissue elasticity imaging for the purpose of breast cancer detection. Perspectives in fetal echocardiography from an image processing angle are included. Diagnostic imaging in the field of mitochondrial diseases as well as the use of Computer-Aided System (CAD) are also discussed in the book. This book will be useful for students, lecturers or professional researchers in the field of biomedical sciences and image processing.