Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Incorporation Of Texture Analysis In Diagnosing And Characterizing Cancer
Download Incorporation Of Texture Analysis In Diagnosing And Characterizing Cancer full books in PDF, epub, and Kindle. Read online Incorporation Of Texture Analysis In Diagnosing And Characterizing Cancer ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Incorporation of texture analysis in diagnosing and characterizing cancer by : Chuanming Li
Download or read book Incorporation of texture analysis in diagnosing and characterizing cancer written by Chuanming Li and published by Frontiers Media SA. This book was released on 2023-06-29 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Radiomics for Cancer Characterization by : Omar Sultan Al-Kadi
Download or read book Computational Radiomics for Cancer Characterization written by Omar Sultan Al-Kadi and published by Frontiers Media SA. This book was released on 2022-10-21 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer by : Arianna Mencattini
Download or read book Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer written by Arianna Mencattini and published by Springer Nature. This book was released on 2022-05-31 with total page 166 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.
Book Synopsis Handbook of Texture Analysis by : Ayman El-Baz
Download or read book Handbook of Texture Analysis written by Ayman El-Baz and published by CRC Press. This book was released on 2024-06-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book: Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methods Covers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformation Describes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentation Is aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering This is an essential reference for those looking to advance their understanding in this applied and emergent field.
Book Synopsis Advances and New Insights into Cancer Characterization: When Novel Imaging Meets Quantitative Imaging Biomarkers Vol. II by : Guang Yang
Download or read book Advances and New Insights into Cancer Characterization: When Novel Imaging Meets Quantitative Imaging Biomarkers Vol. II written by Guang Yang and published by Frontiers Media SA. This book was released on 2023-04-27 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pattern Classification of Medical Images: Computer Aided Diagnosis by : Xiao-Xia Yin
Download or read book Pattern Classification of Medical Images: Computer Aided Diagnosis written by Xiao-Xia Yin and published by Springer. This book was released on 2017-06-27 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes. An important feature of this book is the exploration of different approaches to handle and identify time dependent biomedical images. Biomedical imaging analysis and processing techniques deal with the interaction between all forms of radiation and biological molecules, cells or tissues, to visualize small particles and opaque objects, and to achieve the recognition of biomedical patterns. These are topics of great importance to biomedical science, biology, and medicine. Biomedical imaging analysis techniques can be applied in many different areas to solve existing problems. The various requirements arising from the process of resolving practical problems motivate and expedite the development of biomedical imaging analysis. This is a major reason for the fast growth of the discipline.
Book Synopsis Machine Learning and Other Artificial Intelligence Applications, An Issue of Neuroimaging Clinics of North America, E-Book by : Reza Forghani
Download or read book Machine Learning and Other Artificial Intelligence Applications, An Issue of Neuroimaging Clinics of North America, E-Book written by Reza Forghani and published by Elsevier Health Sciences. This book was released on 2020-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
Book Synopsis Detection and Characterization of Gastrointestinal (Early) Cancer by : Andrej Wagner
Download or read book Detection and Characterization of Gastrointestinal (Early) Cancer written by Andrej Wagner and published by Frontiers Media SA. This book was released on 2022-12-16 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis International Conference on Artificial Intelligence for Smart Community by : Rosdiazli Ibrahim
Download or read book International Conference on Artificial Intelligence for Smart Community written by Rosdiazli Ibrahim and published by Springer Nature. This book was released on 2022-11-13 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17–18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications.
Book Synopsis Imaging of Brain Tumors, An Issue of Magnetic Resonance Imaging Clinics of North America by : Rivka R. Colen
Download or read book Imaging of Brain Tumors, An Issue of Magnetic Resonance Imaging Clinics of North America written by Rivka R. Colen and published by Elsevier Health Sciences. This book was released on 2016-10-15 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of MRI Clinics of North America focuses on Imaging of Brain Tumors, and is edited by Dr. Rivka Colen. Articles will include: Multiparametric Imaging Analysis: MR Spectroscopy; Genomics and MicroRNAs in Glioma; Metabolomics and Hyperpolarization MRI in Brain Tumors; Imaging Genomics in Glioma; Radiomics and Big Data in Imaging; RANO Criteria and Clinical Endpoints; Gliomas: The New WHO Brain Tumor Pathological/Molecular Classification and Clinical and Radiographic Classifications; Liposomal Contrast Agents and Nanoparticles in Brain Tumor Imaging; Multiparametric Imaging Analysis: Perfusion, and more!
Book Synopsis Advances in Urologic Imaging, An Issue of Urologic Clinics by : Samir S. Taneja
Download or read book Advances in Urologic Imaging, An Issue of Urologic Clinics written by Samir S. Taneja and published by Elsevier Health Sciences. This book was released on 2018-07-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Samir Taneja is serving as the Guest Editor for this issue that provides updated and technical content on imaging techniques in urology. Top experts provide clinical reviews on the following topics: Dual-Energy Computed Tomography in Genitourinary Imaging; Diffusion-Weighted Genitourinary Imaging; Upper and Lower Tract Urothelial Imaging Using Computed Tomography Urography; Imaging of Solid Renal Masses; Imaging of Cystic Renal Masses; Image-Guided Renal Interventions; Practical Approach to Adrenal Imaging; Technique of Multi-parametric MRI of the prostate; Multi-parametric MRI- Interpretation Including PIRADS v2; Prostate MRI for Staging; Prostate MRI for Post-Treatment Evaluation and Recurrence; Imaging of Prostate Cancer Using 11C-Choline PET/Computed Tomography; Imaging of Prostate Cancer Using Fluciclovine; and Gallium-68 Prostate-Specific Membrane Antigen PET Imaging. Readers will come away with a clearer understanding of how the latest imaging modalities are utilized for disease diagnosis and management.
Book Synopsis Power Electronics and Renewable Energy Systems by : C. Kamalakannan
Download or read book Power Electronics and Renewable Energy Systems written by C. Kamalakannan and published by Springer. This book was released on 2014-11-19 with total page 1546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the Proceedings of International Conference on Power Electronics and Renewable Energy Systems (ICPERES 2014) held at Rajalakshmi Engineering College, Chennai, India. These research papers provide the latest developments in the broad area of Power Electronics and Renewable Energy. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
Book Synopsis Big Data in Oncology: Impact, Challenges, and Risk Assessment by : Neeraj Kumar Fuloria
Download or read book Big Data in Oncology: Impact, Challenges, and Risk Assessment written by Neeraj Kumar Fuloria and published by CRC Press. This book was released on 2023-12-21 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy. Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.
Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 996 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Book Synopsis Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions by : Anant Madabhushi
Download or read book Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions written by Anant Madabhushi and published by Springer. This book was released on 2011-09-25 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Prostate Cancer Imaging, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 19 submissions. The papers cover the clinical areas of radiology, radiation oncology, and image guided intervention, addressing topics such as prostate segmentation, multi-modal prostate registration, and computer-aided diagnosis and classification of prostate cancer.
Book Synopsis ERDA Energy Research Abstracts by : United States. Energy Research and Development Administration
Download or read book ERDA Energy Research Abstracts written by United States. Energy Research and Development Administration and published by . This book was released on 1976 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :United States. Energy Research and Development Administration. Technical Information Center Publisher : ISBN 13 : Total Pages :724 pages Book Rating :4.3/5 (129 download)
Book Synopsis ERDA Energy Research Abstracts by : United States. Energy Research and Development Administration. Technical Information Center
Download or read book ERDA Energy Research Abstracts written by United States. Energy Research and Development Administration. Technical Information Center and published by . This book was released on 1976 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: