Development of a Computer-aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms PDF Download
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ISBN:
Category :
Languages : en
Pages : 128
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Book Description
The performance of a CAD system for subtle lesions is generally much lower than their performance for less subtle lesions. The goal of this project is to develop a CAD system using advanced computer vision techniques aiming at improved detection of retrospectively seen cancers on prior mammograms and incorporate the developed CAD system into our current CAD system. During the project years, we have performed the following tasks: (1) collect the data sets of digitized film mammograms for training and testing our CAD system, (2) develop a series of single-view computer vision techniques for mass detection and classification in prior mammograms, (3) reduce FPs by correlation of image information from multiple view mammograms of the same patient, (4) develop a information fusion scheme to combine the new CAD system with the existing CAD system for mass detection, and (5) evaluate the effects of the newly developed CAD scheme with a large data set. We have found that our new computer-vision techniques can significantly improve the performance of the CAD system for mass detection by JAFROC analysis. The significance of this project is that the newly developed CAD system may be able to aid radiologists in detecting breast cancers at an early stage. Since early detection and treatment can reduce breast cancer mortality rate and health care costs, the proposed CAD system will improve the efficacy of mammography for breast cancer screening.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Book Description
The performance of a CAD system for subtle lesions is generally much lower than their performance for less subtle lesions. The goal of this project is to develop a CAD system using advanced computer vision techniques aiming at improved detection of retrospectively seen cancers on prior mammograms and incorporate the developed CAD system into our current CAD system. During the project years, we have performed the following tasks: (1) collect the data sets of digitized film mammograms for training and testing our CAD system, (2) develop a series of single-view computer vision techniques for mass detection and classification in prior mammograms, (3) reduce FPs by correlation of image information from multiple view mammograms of the same patient, (4) develop a information fusion scheme to combine the new CAD system with the existing CAD system for mass detection, and (5) evaluate the effects of the newly developed CAD scheme with a large data set. We have found that our new computer-vision techniques can significantly improve the performance of the CAD system for mass detection by JAFROC analysis. The significance of this project is that the newly developed CAD system may be able to aid radiologists in detecting breast cancers at an early stage. Since early detection and treatment can reduce breast cancer mortality rate and health care costs, the proposed CAD system will improve the efficacy of mammography for breast cancer screening.
Author: Shantanu Banik
Publisher: Morgan & Claypool Publishers
ISBN: 1627050833
Category : Technology & Engineering
Languages : en
Pages : 195
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Book Description
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
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309183952
Category : Medical
Languages : en
Pages : 24
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Book Description
In November 1999, the Institute of Medicine, in consultation with the Commission on Life Sciences, the Commission on Physical Sciences, Mathematics, and Applications, and the Board on Science, Technology and Economic Policy launched a one year study on technologies for early detection of breast cancer. The committee was asked to examine technologies under development for early breast cancer detection, and to scrutinize the process of medical technology development, adoption, and dissemination. The committee is gathering information on these topics for its report in a number of ways, including two public workshops that bring in outside expertise. The first workshop on "Developing Technologies for Early Breast Cancer Detection" was held in Washington DC in February 2000. The content of the presentations at the workshop is summarized here. A second workshop, which will focus on the process of technology development and adoption, will be held in Washington, DC on June 19-20. A formal report on these topics, including conclusions and recommendations, will be prepared by the committee upon completion of the one-year study.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309171318
Category : Medical
Languages : en
Pages : 311
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Book Description
Each year more than 180,000 new cases of breast cancer are diagnosed in women in the U.S. If cancer is detected when small and local, treatment options are less dangerous, intrusive, and costly-and more likely to lead to a cure. Yet those simple facts belie the complexity of developing and disseminating acceptable techniques for breast cancer diagnosis. Even the most exciting new technologies remain clouded with uncertainty. Mammography and Beyond provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible. This book reviews the dramatic expansion of breast cancer awareness and screening, examining the capabilities and limitations of current and emerging technologies for breast cancer detection and their effectiveness at actually reducing deaths. The committee discusses issues including national policy toward breast cancer detection, roles of public and private agencies, problems in determining the success of a technique, availability of detection methods to specific populations of women, women's experience during the detection process, cost-benefit analyses, and more. Examining current practices and specifying research and other needs, Mammography and Beyond will be an indispensable resource to policy makers, public health officials, medical practitioners, researchers, women's health advocates, and concerned women and their families.
Author: Nico Karssemeijer
Publisher: Springer Science & Business Media
ISBN: 9401153183
Category : Medical
Languages : en
Pages : 520
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Book Description
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: Marc Lobbes
Publisher: Springer
ISBN: 303011063X
Category : Medical
Languages : en
Pages : 160
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Book Description
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.
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Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Ashok Kumar
Publisher:
ISBN: 9785315533719
Category :
Languages : en
Pages : 0
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Book Description
Breast cancer is the fitful growth of cells that originate in the breast tissue. Breast cancer is any form of malignancy which develops from breast cells. Cancer is a disease in which malignancy cells in the body grow, change and multiply out of control. It is the most common cancer disease in women worldwide, especially those who are in the age group of 40 to 55 years and one of the leading causes of death from cancer in women. Breast cancer is reported as the second most prevalent cause of the cancerous death in the report of World Health Organization]. Breast cancer is"the second most common cancer worldwide. There were over 2 million new cases reported in 2018. The recent statistics of a study by American Cancer Society gives an alarming message that about 3,30,080 new cases of breast cancer are expected to be diagnosed in women in the U.S. and about 2,550 new cases of invasive breast cancer are expected to be diagnosed in men in 2018. These new cases of breast cancer in women are further classified as 2,66,120 new cases of invasive and 63,960 new cases of non-invasive breast cancer. A man's lifetime risk of breast cancer is about 1 in 1,000 whereas 1 in 8 for women which is about 12.4% chances of having breast cancer over the course of the lifetime . The worldwide cancer statistics report says breast cancer is the third most common cancer in the world in terms of number of new cases . In India, there are around 2.5 million diagnosed with cancer and will lead to 5,56,600 deaths per year. By 2020, India is reported to have over 17.5 lakhs diagnosed patients with breast cancer and near 8.8 lakhs deaths caused by this disease . As reported in literature, most prevailing cancer in India is breast cancer and its explanation is a 27% count in all types of cancer in women. Early detection is an exhausting effort and a nerve center on cancer detection. Imaging modalities and advancements in technology disported a far-reaching role in early detection [4]. Mammography has been extensively recognized as a diagnostic and shielding weapon for an early detection of breast cancer and even up to ten years before detection and diagnosis stage. Mammography can curtail the number of mortality native to breast cancer, particularly among women in an age group of years 40-70. Mammography implies the assimilation of anomalies such as calcifications and masses to detect breast cancer. It makes image analysis as a thrust area of research for an early detection of breast cancer. The enactment of a Computer Aided Diagnosis (CAD) system can revamp the early cancer detection rate and could also share the experts workload [6]. A recent report manifested that the enactment of CAD refined the process of breast cancer detection by 7.62% and this automated or semi-automated gizmo has captivated great considerations [6]. Many Computer Aided Diagnosis systems prospected to assist radiologists to curtail the diagnostic errors effectively by using mammogram and MRI imaging modality of breast mass or calcification [33] [26]. Computer Aided Diagnosis systems substantiated a probably compelling tool for detecting the masses or micro calcifications in recent considerations
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309071356
Category : Medical
Languages : en
Pages : 24
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Book Description
In November 1999, the Institute of Medicine, in consultation with the Commission on Life Sciences, the Commission on Physical Sciences, Mathematics, and Applications, and the Board on Science, Technology and Economic Policy launched a one year study on technologies for early detection of breast cancer. The committee was asked to examine technologies under development for early breast cancer detection, and to scrutinize the process of medical technology development, adoption, and dissemination. The committee is gathering information on these topics for its report in a number of ways, including two public workshops that bring in outside expertise. The first workshop on "Developing Technologies for Early Breast Cancer Detection" was held in Washington DC in February 2000. The content of the presentations at the workshop is summarized here. A second workshop, which will focus on the process of technology development and adoption, will be held in Washington, DC on June 19-20. A formal report on these topics, including conclusions and recommendations, will be prepared by the committee upon completion of the one-year study.
Author: Alberto Tagliafico
Publisher: Springer
ISBN: 3319286315
Category : Medical
Languages : en
Pages : 156
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Book Description
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 crossâsectional 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.
