Digital Mammography

Digital Mammography

Author: Ulrich Bick

Publisher: Springer Science & Business Media

ISBN: 3540784500

Category: Medical

Page: 219

View: 678

Download BOOK »

Digital Radiography has been ? rmly established in diagnostic radiology during the last decade. Because of the special requirements of high contrast and spatial resolution needed for roentgen mammography, it took some more time to develop digital m- mography as a routine radiological tool. Recent technological progress in detector and screen design as well as increased ex- rience with computer applications for image processing have now enabled Digital Mammography to become a mature modality that opens new perspectives for the diag- sis of breast diseases. The editors of this timely new volume Prof. Dr. U. Bick and Dr. F. Diekmann, both well-known international leaders in breast imaging, have for many years been very active in the frontiers of theoretical and translational clinical research, needed to bring digital mammography ? nally into the sphere of daily clinical radiology. I am very much indebted to the editors as well as to the other internationally rec- nized experts in the ? eld for their outstanding state of the art contributions to this v- ume. It is indeed an excellent handbook that covers in depth all aspects of Digital Mammography and thus further enriches our book series Medical Radiology. The highly informative text as well as the numerous well-chosen superb illustrations will enable certi? ed radiologists as well as radiologists in training to deepen their knowledge in modern breast imaging.
Mammographic Image Analysis
Language: en
Pages: 379
Authors: R. Highnam, J.M. Brady
Categories: Medical
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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
State of the Art in Digital Mammographic Image Analysis
Language: en
Pages: 291
Authors: K. W. Bowyer, S. Astley
Categories: Medical
Type: BOOK - Published: 1994 - Publisher: World Scientific

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
Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer
Language: en
Pages: 186
Authors: Paola Casti, Arianna Mencattini, Marcello Salmeri, Rangaraj M. Rangayyan
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-06 - Publisher: Morgan & Claypool Publishers

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
Digital Mammography
Language: en
Pages: 309
Authors: Peter Hogg, Judith Kelly, Claire Mercer
Categories: Medical
Type: BOOK - Published: 2015-02-17 - Publisher: Springer

This book offers a single publication to be utilised comprehensively as a reference manual within current mammographic clinical practice for use by assistant practitioners and practitioners as well as trainees in radiography and related disciplines. In recent years mammographic clinical practice and technology have evolved rapidly and become increasingly sophisticated,
Advances in Artificial Intelligence and Its Applications
Language: en
Pages: 585
Authors: Félix Castro, Alexander Gelbukh, Miguel González Mendoza
Categories: Computers
Type: BOOK - Published: 2013-11-22 - Publisher: Springer

The two-volume set LNAI 8265 and LNAI 8266 constitutes the proceedings of the 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, held in Mexico City, Mexico, in November 2013. The total of 85 papers presented in these proceedings were carefully reviewed and selected from 284 submissions. The first volume