Classification Of Mammogram Images

Author : Supriya Salve
Publisher : diplom.de
Page : 49 pages
File Size : 55,6 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.

Author : Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
Publisher : Springer Nature
Page : 1188 pages
File Size : 53,6 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9783030335823

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Emerging Trends in Intelligent Computing and Informatics by Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Pdf

This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering.

Author : Acr
Publisher : Unknown
Page : 689 pages
File Size : 42,8 Mb
Release : 2014-01-31
Category : Breast
ISBN : 155903016X

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2013 ACR BI-RADS Atlas by Acr Pdf

Author : Joy Iong-Zong Chen,João Manuel R. S. Tavares,Abdullah M. Iliyasu,Ke-Lin Du
Publisher : Springer Nature
Page : 840 pages
File Size : 44,8 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9783030847609

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Second International Conference on Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Abdullah M. Iliyasu,Ke-Lin Du Pdf

This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.

Author : Arianna Mencattini,Paola Casti
Publisher : Springer Nature
Page : 166 pages
File Size : 50,9 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031016646

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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer by Arianna Mencattini,Paola Casti 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.

Author : El Oualkadi, Ahmed,Zbitou, Jamal
Publisher : IGI Global
Page : 716 pages
File Size : 41,6 Mb
Release : 2016-08-25
Category : Technology & Engineering
ISBN : 9781522507741

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Handbook of Research on Advanced Trends in Microwave and Communication Engineering by El Oualkadi, Ahmed,Zbitou, Jamal Pdf

Wireless communications have become invaluable in the modern world. The market is going through a revolutionary transformation as new technologies and standards endeavor to keep up with demand for integrated and low-cost mobile and wireless devices. Due to their ubiquity, there is also a need for a simplification of the design of wireless systems and networks. The Handbook of Research on Advanced Trends in Microwave and Communication Engineering showcases the current trends and approaches in the design and analysis of reconfigurable microwave devices, antennas for wireless applications, and wireless communication technologies. Outlining both theoretical and experimental approaches, this publication brings to light the unique design issues of this emerging research, making it an ideal reference source for engineers, researchers, graduate students, and IT professionals.

Author : Ralph Highnam,Michael Brady
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 46,8 Mb
Release : 1999
Category : Health & Fitness
ISBN : 0792356209

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Mammographic Image Analysis by Ralph Highnam,Michael Brady Pdf

The key contribution of the approach to x-ray mammographic image analysis developed in this monograph is a representation of the non-fatty compressed breast tissue that we show can be derived from a single mammogram. The importance of the representation, called hint, is that it removes all those changes in the image that are due only to the particular imaging conditions (for example, the film speed or exposure time), leaving just the non-fatty 'interesting' tissue. Normalising images in this way enables them to be enhanced and matched, and regions in them to be classified more reliably, because unnecessary, distracting variations have been eliminated. Part I of the monograph develops a model-based approach to x-ray mammography, Part II shows how it can be put to work successfully on a range of clinically-important tasks, while Part III develops a model and exploits it for contrast-enhanced MRI mammography. The final chapter points the way forward in a number of promising areas of research.

Author : Nico Karssemeijer,Martin Thijssen,Jan Hendriks,Leon van Erning
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 44,8 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.

Author : Supriya Salve
Publisher : Anchor Academic Publishing
Page : 53 pages
File Size : 49,8 Mb
Release : 2017-05
Category : Medical
ISBN : 9783960671411

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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.

Author : National Research Council,Institute of Medicine,Policy and Global Affairs,Board on Science, Technology, and Economic Policy,National Cancer Policy Board,Committee on New Approaches to Early Detection and Diagnosis of Breast Cancer
Publisher : National Academies Press
Page : 384 pages
File Size : 41,7 Mb
Release : 2005-03-18
Category : Medical
ISBN : 9780309165945

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Saving Women's Lives by National Research Council,Institute of Medicine,Policy and Global Affairs,Board on Science, Technology, and Economic Policy,National Cancer Policy Board,Committee on New Approaches to Early Detection and Diagnosis of Breast Cancer Pdf

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.

Author : H.D.Cheng,Juan Shan,Wen Ju,Yanhui Guo,Ling Zhang
Publisher : Infinite Study
Page : 19 pages
File Size : 41,8 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 8210379456XXX

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Automated breast cancer detection and classification using ultrasound images: A survey by H.D.Cheng,Juan Shan,Wen Ju,Yanhui Guo,Ling Zhang Pdf

Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most frequently used diagnosis tools to detect and classify abnormalities of the breast.

Author : Laszlo Tabar,Tibor Tot
Publisher : Thieme
Page : 324 pages
File Size : 47,8 Mb
Release : 2011-01-01
Category : Medical
ISBN : 9783131493514

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Breast Cancer: Early Detection with Mammography by Laszlo Tabar,Tibor Tot Pdf

Praise for this book:This book should be required reading for the multidisciplinary team of physicians and health care professionals who use mammography for breast cancer detection and treatment...a landmark volume in the field of mammography.--RadiologyInternationally renowned breast cancer imagers, Laszlo Tabar and Peter B. Dean, and the eminent breast pathologist, Tibor Tot, distill decades of clinical expertise in this new volume covering the most frequently occurring malignant type of calcifications: the pleomorphic, crushed stone-like calcifications. The book presents a systematic approach to using mammographic features to distinguish different subtypes of breast diseases originating within the terminal ductal lobular unit (TDLU). More than 800 images demonstrate abnormal findings with superb clarity, providing a state-of-the-art visual reference for interpreting mammograms in the clinical setting. Features: Concise descriptions of mammographic and MRI findings correlated with high-quality histopathologic images to provide a reliable guide for accurate diagnosis and differential diagnosis, as well as prognostic classification Extensive coverage of all aspects of the benign differential diagnostic counterparts of pleomorphic calcifications, including fibrocystic change, fibroadenoma, and papilloma Straightforward discussion of terminology based on a thorough analysis of subgross anatomy, 3D histologic features, and long-term disease outcomes 3D viewing glasses enclosed in the book for perceiving specially marked images in their true three-dimensional form This book is ideal for all breast imagers and breast pathologists, as well as for surgeons and oncologists specializing in breast diseases. For the radiologist, this book is an indispensable reference for harnessing the power of mammography to detect breast cancer at the earliest stages possible.

Author : Thanh Cabral,Rangaraj Rangayyan
Publisher : Springer Nature
Page : 104 pages
File Size : 49,9 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031016547

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Fractal Analysis of Breast Masses in Mammograms by Thanh Cabral,Rangaraj Rangayyan Pdf

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

Author : Thanh M. Cabral,Rangaraj Rangayyan
Publisher : Morgan & Claypool Publishers
Page : 120 pages
File Size : 44,7 Mb
Release : 2012-10-01
Category : Technology & Engineering
ISBN : 9781627050692

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Fractal Analysis of Breast Masses in Mammograms by Thanh M. Cabral,Rangaraj Rangayyan Pdf

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

Author : Alberto Tagliafico,Nehmat Houssami,Massimo Calabrese
Publisher : Springer
Page : 148 pages
File Size : 48,5 Mb
Release : 2016-05-03
Category : Medical
ISBN : 9783319286310

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Digital Breast Tomosynthesis by Alberto Tagliafico,Nehmat Houssami,Massimo Calabrese Pdf

This book provides a comprehensive description of the screening and clinical applications of digital breast tomosynthesis (DBT) and offers straightforward, clear guidance on use of the technique. Informative clinical cases are presented to illustrate how to take advantage of DBT in clinical practice. The importance of DBT as a diagnostic tool for both screening and diagnosis is increasing rapidly. DBT improves upon mammography by depicting breast tissue on a video clip made of cross‐sectional images reconstructed in correspondence with their mammographic planes of acquisition. DBT results in markedly reduced summation of overlapping breast tissue and offers the potential to improve mammographic breast cancer surveillance and diagnosis. This book will be an excellent practical teaching guide for beginners and a useful reference for more experienced radiologists.