Mammographic Image Analysis

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Mammographic Image Analysis

Author : R. Highnam,J.M. Brady
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9789401146135

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Mammographic Image Analysis by R. Highnam,J.M. Brady Pdf

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.

State of the Art in Digital Mammographic Image Analysis

Author : K. W. Bowyer,S. Astley
Publisher : World Scientific
Page : 312 pages
File Size : 49,9 Mb
Release : 1994
Category : Medical
ISBN : 9810215096

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State of the Art in Digital Mammographic Image Analysis by K. W. Bowyer,S. Astley Pdf

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.

Physics of Mammographic Imaging

Author : Mia K. Markey
Publisher : Taylor & Francis
Page : 317 pages
File Size : 44,6 Mb
Release : 2012-11-09
Category : Science
ISBN : 9781439875469

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Physics of Mammographic Imaging by Mia K. Markey Pdf

Due to the increasing number of digital mammograms and the advent of new kinds of three-dimensional x-ray and other forms of medical imaging, mammography is undergoing a dramatic change. To meet their responsibilities, medical physicists must constantly renew their knowledge of advances in medical imaging or radiation therapy, and must be prepared to function at the intersection of these two fields. Physics of Mammographic Imaging gives an overview on the current role and future potential of new alternatives to mammography in the context of clinical need, complementary approaches, and ongoing research. This book provides comprehensive coverage on the fundamentals of image formation, image interpretation, analysis, and modeling. It discusses the use of mammographic imaging in the detection, diagnosis, treatment planning, and monitoring of breast cancer. Expert authors give a balanced summary of core topics such as digital mammography, contrast-enhanced mammography, stereomammography, breast tomosynthesis, and breast CT. The book highlights the use of mammographic imaging with complementary breast imaging modalities such as ultrasound, MRI, and nuclear medicine techniques. It discusses critical issues such as computer-aided diagnosis, perception, and quality assurance. This is an exciting time in the development of medical imaging, with many new technologies poised to make a substantial impact on breast cancer care. This book will help researchers and students get up to speed on crucial developments and contribute to future advances in the field.

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

Author : Paola Casti,Arianna Mencattini,Marcello Salmeri,Rangaraj M. Rangayyan
Publisher : Morgan & Claypool Publishers
Page : 188 pages
File Size : 55,7 Mb
Release : 2017-07-06
Category : Technology & Engineering
ISBN : 9781681731575

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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer by Paola Casti,Arianna Mencattini,Marcello Salmeri,Rangaraj M. Rangayyan Pdf

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.

Digital Mammography

Author : Nico Karssemeijer,Martin Thijssen,Jan Hendriks,Leon van Erning
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 46,8 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9789401153188

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Digital Mammography by Nico Karssemeijer,Martin Thijssen,Jan Hendriks,Leon van Erning Pdf

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.

Analysis of Oriented Texture with application to the Detection of Architectural Distortion in Mammograms

Author : Fabio Ayres,Rangaraj Rangayyan
Publisher : Springer Nature
Page : 150 pages
File Size : 53,5 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031016479

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Analysis of Oriented Texture with application to the Detection of Architectural Distortion in Mammograms by Fabio Ayres,Rangaraj Rangayyan Pdf

The presence of oriented features in images often conveys important information about the scene or the objects contained; the analysis of oriented patterns is an important task in the general framework of image understanding. As in many other applications of computer vision, the general framework for the understanding of oriented features in images can be divided into low- and high-level analysis. In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the entire region of analysis in the image is called the orientation field. High-level analysis relates to the discovery of patterns in the orientation field, usually by associating the structure perceived in the orientation field with a geometrical model. This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields. In order to illustrate the concepts developed throughout the book, an application is presented of the phase portrait method to computer-aided detection of architectural distortion in mammograms. Table of Contents: Detection of Oriented Features in Images / Analysis of Oriented Patterns Using Phase Portraits / Optimization Techniques / Detection of Sites of Architectural Distortion in Mammograms

Mammographic Image Analysis

Author : 陈智丽,姚凡,张辉,Azam Hamidinekoo,Reyer Zwiggelaar
Publisher : Unknown
Page : 168 pages
File Size : 49,6 Mb
Release : 2020
Category : Breast
ISBN : 7030665090

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Mammographic Image Analysis by 陈智丽,姚凡,张辉,Azam Hamidinekoo,Reyer Zwiggelaar Pdf

Physics of Mammographic Imaging

Author : Mia K. Markey
Publisher : CRC Press
Page : 321 pages
File Size : 49,7 Mb
Release : 2012-11-09
Category : Science
ISBN : 9781439875445

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Physics of Mammographic Imaging by Mia K. Markey Pdf

Due to the increasing number of digital mammograms and the advent of new kinds of three-dimensional x-ray and other forms of medical imaging, mammography is undergoing a dramatic change. To meet their responsibilities, medical physicists must constantly renew their knowledge of advances in medical imaging or radiation therapy, and must be prepared to function at the intersection of these two fields. Physics of Mammographic Imaging gives an overview on the current role and future potential of new alternatives to mammography in the context of clinical need, complementary approaches, and ongoing research. This book provides comprehensive coverage on the fundamentals of image formation, image interpretation, analysis, and modeling. It discusses the use of mammographic imaging in the detection, diagnosis, treatment planning, and monitoring of breast cancer. Expert authors give a balanced summary of core topics such as digital mammography, contrast-enhanced mammography, stereomammography, breast tomosynthesis, and breast CT. The book highlights the use of mammographic imaging with complementary breast imaging modalities such as ultrasound, MRI, and nuclear medicine techniques. It discusses critical issues such as computer-aided diagnosis, perception, and quality assurance. This is an exciting time in the development of medical imaging, with many new technologies poised to make a substantial impact on breast cancer care. This book will help researchers and students get up to speed on crucial developments and contribute to future advances in the field.

Classification of Mammogram Images

Author : Supriya Salve
Publisher : diplom.de
Page : 49 pages
File Size : 52,5 Mb
Release : 2017-03-23
Category : Medical
ISBN : 9783960676416

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Classification of Mammogram Images by Supriya Salve Pdf

Breast cancer is the most common type of cancer in women, which also causes the most cancer deaths among them today. Mammography is the only reliable method to detect breast cancer in the early stage among all diagnostic methods available currently. Breast cancer can occur in both men and women and is defined as an abnormal growth of cells in the breast that multiply uncontrollably. The main factors which cause breast cancer are either hormonal or genetic. Masses are quite subtle, and have many shapes such as circumscribed, speculated or ill-defined. These tumors can be either benign or malignant. Computer-aided methods are powerful tools to assist the medical staff in hospitals and lead to better and more accurate diagnosis. The main objective of this research is to develop a Computer Aided Diagnosis (CAD) system for finding the tumors in the mammographic images and classifying the tumors as benign or malignant. There are five main phases involved in the proposed CAD system: image pre-processing, extraction of features from mammographic images using Gabor Wavelet and Discrete Wavelet Transform (DWT), dimensionality reduction using Principal Component Analysis (PCA) and classification using Support Vector Machine (SVM) classifier.

Breast Cancer - The Art and Science of Early Detection with Mammography

Author : Laszlo Tabar,Tibor Tot,Peter B. Dean
Publisher : Thieme
Page : 490 pages
File Size : 44,5 Mb
Release : 2011-01-01
Category : Medical
ISBN : 9783131616210

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Breast Cancer - The Art and Science of Early Detection with Mammography by Laszlo Tabar,Tibor Tot,Peter B. Dean Pdf

2004 RSNA Bestseller!Early detection is our most effective means for reducing the number of unnecessary deaths caused by breast cancer; however, the lack of skilled mammographic readings, especially in early stage breast cancer, makes this a less effective tool than it could be. In this book, one of the world's most renowned mammographers shares his decades of experience in the analysis and interpretation of mammographic images. With Dr. Tabar's clear procedures and expert guidance, you will learn to discern the most subtle of pathologic changes to ensure that patients receive optimal and timely treatment. You will also improve your ability to recognize the full range of normal anatomic variability, avoiding unnecessary additional imaging and interventional procedures.This book contains more than 1,600 high-definition images, many in full-color, to demonstrate anatomic structures, variations in normal tissue, and difficult-to-identify abnormalities. You will also appreciate clear photographs of pathologic specimens, including subgross 3-D, and large, thin-section histologic sections, correlated with mammographic images. The result of more than two decades of intensive clinical experience, this is the ultimate mammographic atlas for developing expert interpretive skills. No radiologist or breast imager should be without this highly instructive professional reference.

Non-Linear Filters for Mammogram Enhancement

Author : Vikrant Bhateja,Mukul Misra,Shabana Urooj
Publisher : Springer Nature
Page : 239 pages
File Size : 49,7 Mb
Release : 2019-11-02
Category : Technology & Engineering
ISBN : 9789811504426

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Non-Linear Filters for Mammogram Enhancement by Vikrant Bhateja,Mukul Misra,Shabana Urooj Pdf

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.

Content-based Retrieval of Medical Images

Author : Paulo Mazzoncini de Azevedo-Marques,Rangaraj Rangayyan
Publisher : Morgan & Claypool Publishers
Page : 145 pages
File Size : 42,9 Mb
Release : 2013-01-01
Category : Technology & Engineering
ISBN : 9781627051422

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Content-based Retrieval of Medical Images by Paulo Mazzoncini de Azevedo-Marques,Rangaraj Rangayyan Pdf

Content-based image retrieval (CBIR) is the process of retrieval of images from a database that are similar to a query image, using measures derived from the images themselves, rather than relying on accompanying text or annotation. To achieve CBIR, the contents of the images need to be characterized by quantitative features; the features of the query image are compared with the features of each image in the database and images having high similarity with respect to the query image are retrieved and displayed. CBIR of medical images is a useful tool and could provide radiologists with assistance in the form of a display of relevant past cases. One of the challenging aspects of CBIR is to extract features from the images to represent their visual, diagnostic, or application-specific information content. In this book, methods are presented for preprocessing, segmentation, landmarking, feature extraction, and indexing of mammograms for CBIR. The preprocessing steps include anisotropic diffusion and the Wiener filter to remove noise and perform image enhancement. Techniques are described for segmentation of the breast and fibroglandular disk, including maximum entropy, a moment-preserving method, and Otsu's method. Image processing techniques are described for automatic detection of the nipple and the edge of the pectoral muscle via analysis in the Radon domain. By using the nipple and the pectoral muscle as landmarks, mammograms are divided into their internal, external, upper, and lower parts for further analysis. Methods are presented for feature extraction using texture analysis, shape analysis, granulometric analysis, moments, and statistical measures. The CBIR system presented provides options for retrieval using the Kohonen self-organizing map and the k-nearest-neighbor method. Methods are described for inclusion of expert knowledge to reduce the semantic gap in CBIR, including the query point movement method for relevance feedback (RFb). Analysis of performance is described in terms of precision, recall, and relevance-weighted precision of retrieval. Results of application to a clinical database of mammograms are presented, including the input of expert radiologists into the CBIR and RFb processes. Models are presented for integration of CBIR and computer-aided diagnosis (CAD) with a picture archival and communication system (PACS) for efficient workflow in a hospital. Table of Contents: Introduction to Content-based Image Retrieval / Mammography and CAD of Breast Cancer / Segmentation and Landmarking of Mammograms / Feature Extraction and Indexing of Mammograms / Content-based Retrieval of Mammograms / Integration of CBIR and CAD into Radiological Workflow

Recent Advances in Multimedia Signal Processing and Communications

Author : Mislav Grgic,Kresimir Delac,Mohammed Ghanbari
Publisher : Springer
Page : 659 pages
File Size : 42,5 Mb
Release : 2009-09-30
Category : Computers
ISBN : 9783642029004

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Recent Advances in Multimedia Signal Processing and Communications by Mislav Grgic,Kresimir Delac,Mohammed Ghanbari Pdf

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).

Breast Imaging: The Requisites E-Book

Author : Debra Ikeda,Kanae Kawai Miyake
Publisher : Elsevier Health Sciences
Page : 375 pages
File Size : 46,9 Mb
Release : 2016-09-20
Category : Medical
ISBN : 9780323391573

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Breast Imaging: The Requisites E-Book by Debra Ikeda,Kanae Kawai Miyake Pdf

Now in its 3rd Edition, this bestselling volume in the popular Requisites series, by Drs. Debra M. Ikeda and Kanae K. Miyake, thoroughly covers the fast-changing field of breast imaging. Ideal for residency, clinical practice and certification and MOC exam study, it presents everything you need to know about diagnostic imaging of the breast, including new BI-RADS standards, new digital breast tomosynthesis (DBT) content, ultrasound, and much more. Compact and authoritative, it provides up-to-date, expert guidance in reading and interpreting mammographic, ultrasound, DBT, and MRI images for efficient and accurate detection of breast disease. Features over 1,300 high-quality images throughout. Summarizes key information with numerous outlines, tables, ''pearls,'' and boxed material for easy reference. Focuses on essentials to pass the boards and the MOC exam and ensure accurate diagnoses in clinical practice. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. All-new Breast Imaging-Reporting and Data System (BI-RADS) recommendations for management and terminology for mammography, elastography in ultrasound, and MRI. Step-by-step guidance on how to read new 3D tomosynthesis imaging studies with example cases, including limitations, and pitfalls. More evidence on the management of high risk breast lesions. Correlations of ultrasound, mammography, and MRI with tomosynthesis imaging. Detailed basis of contrast-enhanced MRI studies. Recent nuclear medicine techniques such as FDG PET/CT, NaF PET.

Mammography

Author : Marton Lanyi
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 50,9 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642556326

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Mammography by Marton Lanyi Pdf

An explanation of modern breast pathology aimed at physicians practicing mammography. Mammography can be thought of as a (sub)macroscopic "shadow pathology" - confident diagnosis necessitates comprehensive knowledge of breast pathology. The traditional rules of thumb, for example that a regular, rounded shadow means a benign lesion, a radiating structure represents a malignant tumor, and microcalcification indicates biopsy, no longer hold true. The over 600 individual illustrations and more than 1,000 references help the reader understand breast morphology. The book is rounded off by a detailed description of the clinical symptoms and a helpful summary of the supplementary diagnostic procedures and the possibilities for treatment.