Computerized Analysis Of Mammographic Images For Detection And Characterization Of Breast Cancer

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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.

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

Author : Arianna Mencattini
Publisher : Springer Nature
ISBN 13 : 3031016645
Total Pages : 166 pages
Book Rating : 4.0/5 (31 download)

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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.

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

Mammography and Beyond

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309075505
Total Pages : 34 pages
Book Rating : 4.3/5 (9 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 2001-06-04 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: X-ray mammography screening is the current mainstay for early breast cancer detection. It has been proven to detect breast cancer at an earlier stage and to reduce the number of women dying from the disease. However, it has a number of limitations. These current limitations in early breast cancer detection technology are driving a surge of new technological developments, from modifications of x-ray mammography such as computer programs that can indicate suspicious areas, to newer methods of detection such as magnetic resonance imaging (MRI) or biochemical tests on breast fluids. To explore the merits and drawbacks of these new breast cancer detection techniques, the Institute of Medicine of the National Academy of Sciences convened a committee of experts. During its year of operation, the committee examined the peer-reviewed literature, consulted with other experts in the field, and held two public workshops. In addition to identifying promising new technologies for early detection, the committee explored potential barriers that might prevent the development of new detection methods and their common usage. Such barriers could include lack of funding from agencies that support research and lack of investment in the commercial sector; complicated, inconsistent, or unpredictable federal regulations; inadequate insurance reimbursement; and limited access to or unacceptability of breast cancer detection technology for women and their doctors. Based on the findings of their study, the committee prepared a report entitled Mammography and Beyond: Developing Technology for Early Detection of Breast Cancer, which was published in the spring of 2001. This is a non-technical summary of that report.

State of the Art in Digital Mammographic Image Analysis

Author : K. W. Bowyer
Publisher : World Scientific
ISBN 13 : 9789810215095
Total Pages : 312 pages
Book Rating : 4.2/5 (15 download)

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Book Synopsis State of the Art in Digital Mammographic Image Analysis by : K. W. Bowyer

Download or read book State of the Art in Digital Mammographic Image Analysis written by K. W. Bowyer and published by World Scientific. This book was released on 1994 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed assessment of the state of the art in automated techniques for the analysis of digital mammogram images. Topics covered include a variety of approaches for image processing and pattern recognition aimed at assisting the physician in the task of detecting tumors from evidence in mammogram images. The chapters are written by recognized experts in the field and are revised versions of papers selected from those presented at the “First International Workshop on Mammogram Image Analysis” held in San Jose as part of the 1993 Biomedical Image Processing conference.

Fractal Analysis of Breast Masses in Mammograms

Author : Thanh M. Cabral
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627050698
Total Pages : 120 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Fractal Analysis of Breast Masses in Mammograms by : Thanh M. Cabral

Download or read book Fractal Analysis of Breast Masses in Mammograms written by Thanh M. Cabral and published by Morgan & Claypool Publishers. This book was released on 2012-10-01 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fractal analysis is useful in digital image processing for the characterization of shape roughness and gray-scale texture or complexity. Breast masses present shape and gray-scale characteristics in mammograms that vary between benign masses and malignant tumors. This book demonstrates the use of fractal analysis to classify breast masses as benign masses or malignant tumors based on the irregularity exhibited in their contours and the gray-scale variability exhibited in their mammographic images. A few different approaches are described to estimate the fractal dimension (FD) of the contour of a mass, including the ruler method, box-counting method, and the power spectral analysis (PSA) method. Procedures are also described for the estimation of the FD of the gray-scale image of a mass using the blanket method and the PSA method. To facilitate comparative analysis of FD as a feature for pattern classification of breast masses, several other shape features and texture measures are described in the book. The shape features described include compactness, spiculation index, fractional concavity, and Fourier factor. The texture measures described are statistical measures derived from the gray-level cooccurrence matrix of the given image. Texture measures reveal properties about the spatial distribution of the gray levels in the given image; therefore, the performance of texture measures may be dependent on the resolution of the image. For this reason, an analysis of the effect of spatial resolution or pixel size on texture measures in the classification of breast masses is presented in the book. The results demonstrated in the book indicate that fractal analysis is more suitable for characterization of the shape than the gray-level variations of breast masses, with area under the receiver operating characteristics of up to 0.93 with a dataset of 111 mammographic images of masses. The methods and results presented in the book are useful for computer-aided diagnosis of breast cancer. Table of Contents: Computer-Aided Diagnosis of Breast Cancer / Detection and Analysis of\newline Breast Masses / Datasets of Images of Breast Masses / Methods for Fractal Analysis / Pattern Classification / Results of Classification of Breast Masses / Concluding Remarks

Breast Tomosynthesis E-Book

Author : Liane E Philpotts
Publisher : Elsevier Health Sciences
ISBN 13 : 0323377459
Total Pages : 350 pages
Book Rating : 4.3/5 (233 download)

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Book Synopsis Breast Tomosynthesis E-Book by : Liane E Philpotts

Download or read book Breast Tomosynthesis E-Book written by Liane E Philpotts and published by Elsevier Health Sciences. This book was released on 2016-11-02 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of tomosynthesis in breast imaging is growing rapidly due to its superior ability to identify and characterize normal findings, benign lesions, and breast cancer, as well as its optimal performance with dense breast tissue. Providing unparalleled coverage of this breakthrough breast imaging modality, Breast Tomosynthesis explains how this new modality can lead to enhanced interpretation and better patient outcomes. This new reference is an indispensable guide for today's practitioner looking to keep abreast of the latest developments with correlative findings, practical interpretation tips, physics, and information on how tomosynthesis differs from conventional 2D FFDM mammography. Over 900 high-quality images offer visual guidance to effectively reading and interpreting this key imaging modality. Includes over 900 high-quality tomosynthesis and mammography images representing the spectrum of breast imaging. Features the latest Breast Imaging Reporting and Data System (or BI-RADS) standards updated in February 2014. Highlights practical tips to interpreting this new modality and how it differs from 2D mammography. Details how integration of tomosynthesis drastically changes lesion work-up and overall workflow in the department. "Tomo Tips" boxes offer tips and pitfalls for expert clinical guidance.

Recent Advances in Breast Imaging, Mammography, and Computer-aided Diagnosis of Breast Cancer

Author : Jasjit S. Suri
Publisher : CCH
ISBN 13 : 9780819460813
Total Pages : 1012 pages
Book Rating : 4.4/5 (68 download)

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Book Synopsis Recent Advances in Breast Imaging, Mammography, and Computer-aided Diagnosis of Breast Cancer by : Jasjit S. Suri

Download or read book Recent Advances in Breast Imaging, Mammography, and Computer-aided Diagnosis of Breast Cancer written by Jasjit S. Suri and published by CCH. This book was released on 2006 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the most common type of cancer found in women worldwide; approximately 10 per cent of women are confronted with breast cancer in their lives. Breast cancer can be most efficiently treated if detected at an early stage. This book focuses primarily on the application of computer vision for early lesion identification in mammograms and breast-imaging volumes through computer-aided diagnostics (CAD). Colour illustrations are included in the text, and an accompanying CD-ROM contains other full-colour images.

Contrast-Enhanced Mammography

Author : Marc Lobbes
Publisher : Springer
ISBN 13 : 303011063X
Total Pages : 160 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Contrast-Enhanced Mammography by : Marc Lobbes

Download or read book Contrast-Enhanced Mammography written by Marc Lobbes and published by Springer. This book was released on 2019-04-29 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to contrast-enhanced mammography (CEM), a novel advanced mammography technique using dual-energy mammography in combination with intravenous contrast administration in order to increase the diagnostic performance of digital mammography. Readers will find helpful information on the principles of CEM and indications for the technique. Detailed attention is devoted to image interpretation, with presentation of case examples and highlighting of pitfalls and artifacts. Other topics to be addressed include the establishment of a CEM program, the comparative merits of CEM and MRI, and the roles of CEM in screening populations and monitoring of response to neoadjuvant chemotherapy. CEM became commercially available in 2011 and is increasingly being used in clinical practice owing to its superiority over full-field digital mammography. This book will be an ideal source of knowledge and guidance for all who wish to start using the technique or to learn more about it.

Digital Mammography

Author : Nico Karssemeijer
Publisher : Springer Science & Business Media
ISBN 13 : 9401153183
Total Pages : 520 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Digital Mammography by : Nico Karssemeijer

Download or read book Digital Mammography written by Nico Karssemeijer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: In June 1998 the Fourth International Workshop on Digital Mammography was held in Nijmegen, The Netherlands, where it was hosted by the department of Radiology of the University Hospital Nijmegen. This series of meetings was initiated at the 1993 SPIE Biomedical Image Processing Conference in San Jose, USA, where a number of sessions were entirely devoted to mammographic image analysis. At very successful subsequent workshops held in York, UK (1994) and Chicago, USA (1996), the scope of the conference was broadened, establishing a platform for presentation and discussion of new developments in digital mammog raphy. Topics that are addressed at these meetings are computer-aided diagnosis, image processing, detector development, system design, observer performance and clinical evaluation. The goal is to bring researchers from universities, breast cancer experts, and engineers together, to exchange information and present new scientific developments in this rapidly evolving field. This book contains all the scientific papers and posters presented at the work shop in Nijmegen. Contributions came from as many as 20 different countries and 190 participants attended the meeting. At a technical exhibit companies demon strated new products and work in progress. Abstracts of all papers were reviewed by members of the scientific committee. Many of the accepted papers had excellent quality, but due to limited space not all of them could be included as full papers in these proceedings. Papers that were rated high by the reviewers are included as long or short papers, others appear as extended abstracts in the last chapter.

Fractal Analysis of Breast Masses in Mammograms

Author : Thanh Cabral
Publisher : Springer Nature
ISBN 13 : 3031016548
Total Pages : 104 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Fractal Analysis of Breast Masses in Mammograms by : Thanh Cabral

Download or read book Fractal Analysis of Breast Masses in Mammograms written by Thanh Cabral and published by Springer Nature. This book was released on 2022-06-01 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fractal analysis is useful in digital image processing for the characterization of shape roughness and gray-scale texture or complexity. Breast masses present shape and gray-scale characteristics in mammograms that vary between benign masses and malignant tumors. This book demonstrates the use of fractal analysis to classify breast masses as benign masses or malignant tumors based on the irregularity exhibited in their contours and the gray-scale variability exhibited in their mammographic images. A few different approaches are described to estimate the fractal dimension (FD) of the contour of a mass, including the ruler method, box-counting method, and the power spectral analysis (PSA) method. Procedures are also described for the estimation of the FD of the gray-scale image of a mass using the blanket method and the PSA method. To facilitate comparative analysis of FD as a feature for pattern classification of breast masses, several other shape features and texture measures are described in the book. The shape features described include compactness, spiculation index, fractional concavity, and Fourier factor. The texture measures described are statistical measures derived from the gray-level cooccurrence matrix of the given image. Texture measures reveal properties about the spatial distribution of the gray levels in the given image; therefore, the performance of texture measures may be dependent on the resolution of the image. For this reason, an analysis of the effect of spatial resolution or pixel size on texture measures in the classification of breast masses is presented in the book. The results demonstrated in the book indicate that fractal analysis is more suitable for characterization of the shape than the gray-level variations of breast masses, with area under the receiver operating characteristics of up to 0.93 with a dataset of 111 mammographic images of masses. The methods and results presented in the book are useful for computer-aided diagnosis of breast cancer. Table of Contents: Computer-Aided Diagnosis of Breast Cancer / Detection and Analysis of\newline Breast Masses / Datasets of Images of Breast Masses / Methods for Fractal Analysis / Pattern Classification / Results of Classification of Breast Masses / Concluding Remarks

Mammographic Image Analysis

Author : R. Highnam
Publisher : Springer Science & Business Media
ISBN 13 : 9401146136
Total Pages : 383 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Mammographic Image Analysis by : R. Highnam

Download or read book Mammographic Image Analysis written by R. Highnam and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is a major health problem in the Western world, where it is the most common cancer among women. Approximately 1 in 12 women will develop breast cancer during the course of their lives. Over the past twenty years there have been a series of major advances in the manage ment of women with breast cancer, ranging from novel chemotherapy and radiotherapy treatments to conservative surgery. The next twenty years are likely to see computerized image analysis playing an increasingly important role in patient management. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest. There are many reasons for this: highly variable and irregular shapes of the objects of interest, changing imaging conditions, and the densely textured nature of the images. Add to this the increasing need for quantitative informa tion, precision, and reliability (very few false positives), and the image pro cessing challenge becomes quite daunting, in fact it pushes image analysis techniques right to their limits.

Breast Cancer Screening and Diagnosis

Author : Mahesh K Shetty
Publisher : Springer
ISBN 13 : 1493912674
Total Pages : 458 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Breast Cancer Screening and Diagnosis by : Mahesh K Shetty

Download or read book Breast Cancer Screening and Diagnosis written by Mahesh K Shetty and published by Springer. This book was released on 2014-09-19 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the current trends and practices in breast imaging. Topics include mammographic interpretation; breast ultrasound; breast MRI; management of the symptomatic breast in young, pregnant and lactating women; breast intervention with imaging pathological correlation; the postoperative breast and current and emerging technologies in breast imaging. It emphasizes the importance of fostering a multidisciplinary approach in the diagnosis and treatment of breast diseases. Featuring more than 800 high-resolution images and showcasing contributions from leading authorities in the screening, diagnosis and management of the breast cancer patient, Breast Cancer Screening and Diagnosis is a valuable resource for radiologists, oncologists and surgeons.

Non-Linear Filters for Mammogram Enhancement

Author : Vikrant Bhateja
Publisher : Springer Nature
ISBN 13 : 9811504423
Total Pages : 239 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Non-Linear Filters for Mammogram Enhancement by : Vikrant Bhateja

Download or read book Non-Linear Filters for Mammogram Enhancement written by Vikrant Bhateja and published by Springer Nature. This book was released on 2019-11-02 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications. The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one of the most challenging research domains in image processing.

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

Author : Denise Guliato
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608450333
Total Pages : 95 pages
Book Rating : 4.6/5 (84 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 Morgan & Claypool Publishers. This book was released on 2011-02-02 with total page 95 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

Digital Mammography

Author : Etta D. Pisano
Publisher : Lippincott Williams & Wilkins
ISBN 13 : 0781741424
Total Pages : 24 pages
Book Rating : 4.7/5 (817 download)

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Book Synopsis Digital Mammography by : Etta D. Pisano

Download or read book Digital Mammography written by Etta D. Pisano and published by Lippincott Williams & Wilkins. This book was released on 2004 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bogen er en grundlæggende lærebog om digital mammografi, hvori digital mammografi og traditionel mammografi også sammenlignes i forhold til screening, diagnoser og radiografisk billedteknik. Der er en komplet billedsamling af cases indenfor digital mammografi.

Recent Advances in Multimedia Signal Processing and Communications

Author : Mislav Grgic
Publisher : Springer
ISBN 13 : 3642029000
Total Pages : 659 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Recent Advances in Multimedia Signal Processing and Communications by : Mislav Grgic

Download or read book Recent Advances in Multimedia Signal Processing and Communications written by Mislav Grgic and published by Springer. This book was released on 2009-09-30 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid increase in computing power and communication speed, coupled with computer storage facilities availability, has led to a new age of multimedia app- cations. Multimedia is practically everywhere and all around us we can feel its presence in almost all applications ranging from online video databases, IPTV, - teractive multimedia and more recently in multimedia based social interaction. These new growing applications require high-quality data storage, easy access to multimedia content and reliable delivery. Moving ever closer to commercial - ployment also aroused a higher awareness of security and intellectual property management issues. All the aforementioned requirements resulted in higher demands on various - eas of research (signal processing, image/video processing and analysis, com- nication protocols, content search, watermarking, etc.). This book covers the most prominent research issues in multimedia and is divided into four main sections: i) content based retrieval, ii) storage and remote access, iii) watermarking and co- right protection and iv) multimedia applications. Chapter 1 of the first section presents an analysis on how color is used and why is it crucial in nowadays multimedia applications. In chapter 2 the authors give an overview of the advances in video abstraction for fast content browsing, transm- sion, retrieval and skimming in large video databases and chapter 3 extends the discussion on video summarization even further. Content retrieval problem is tackled in chapter 4 by describing a novel method for producing meaningful s- ments suitable for MPEG-7 description based on binary partition trees (BPTs).