Computer-aided Diagnosis of Breast Cancer

Computer-aided Diagnosis of Breast Cancer PDF Author: Matthias Elter
Publisher:
ISBN: 9783899599947
Category :
Languages : en
Pages : 217

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Book Description


Digital Mammography

Digital Mammography PDF 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.

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

Recent Advances in Breast Imaging, Mammography, and Computer-aided Diagnosis of Breast Cancer PDF Author: Jasjit S. Suri
Publisher: CCH
ISBN: 9780819460813
Category : Breast
Languages : en
Pages : 1012

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Book Description
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.

Developing Technologies for Early Detection of Breast Cancer

Developing Technologies for Early Detection of Breast Cancer PDF 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.

Mammography and Beyond

Mammography and Beyond PDF 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.

Contrast-Enhanced Mammography

Contrast-Enhanced Mammography PDF 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.

Computer-Aided Diagnosis of Breast Cancer: A Multi-Center Demonstrator

Computer-Aided Diagnosis of Breast Cancer: A Multi-Center Demonstrator PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
The long range goal of this project is to improve the accuracy and consistency of breast cancer diagnosis by developing a computer aided diagnosis (CAD) system for early prediction of breast cancer using the BI-RADS(trademark)' findings reporting criteria provided by mammographers distributed over a wide geographical area. In the first year of this project, we have hired a Data Technician to set up and manage the mammographic findings database. So far, 700 hundred cases from Duke have been entered, as well as 1000 from the University of Pennsylvania. A further 500 cases from Sloan-Kettering Cancer Center are being processed and entered, as well as an additional 100 from Duke. The data collection process has been delayed by the decreased budget, which in turn delayed CAD system testing. An artificial neural network (ANN) to predict biopsy outcome has been developed. A genetic algorithm has been developed for selecting subsets from the dataset in order to decrease cross-validation variance and increase the network's performance in the ROC area.

Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering PDF Author: Ignacio Rojas
Publisher: Springer Nature
ISBN: 3030453855
Category : Science
Languages : en
Pages : 843

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Book Description
This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020. The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems.

Biomedical Computing for Breast Cancer Detection and Diagnosis

Biomedical Computing for Breast Cancer Detection and Diagnosis PDF Author: Pinheiro dos Santos, Wellington
Publisher: IGI Global
ISBN: 1799834573
Category : Medical
Languages : en
Pages : 357

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Book Description
Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.

Modular Machine Learning Methods for Computer-aided Diagnosis of Breast Cancer

Modular Machine Learning Methods for Computer-aided Diagnosis of Breast Cancer PDF Author: Mia Kathleen Markey
Publisher:
ISBN:
Category : Breast
Languages : en
Pages : 368

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Book Description