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State of the Art in Digital Mammographic Image Amalysis

By: Sue Astley (Editor), Kevin Bowyer (Editor)

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Hardcover | 1 December 1993

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Hardcover
308 Pages

Dimensions(cm)
22.86 x 16.51 x 1.91

Hardcover

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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 tumours from evidence in mammogram images. The chapters are written by 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.

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Non-Fiction Medicine Clinical & Internal Medicine Diseases & Disorders Oncology Other Branches of Medicine Medical Imaging Gynaecology & Obstetrics Booktopia Publisher Services World Scientific Publishing Computing & I.T.Computer Science

Artificial Intelligence Pattern Recognition

Editor's Introduction
Automation in Mammography: Computer Vision and Human Perception	p. 1
Image Database and Dedicated Coding Algorithm for Digital Mammography	p. 26
Restoration of Mammographic Images in the Presence of Signal-Dependent Noise	p. 42
Classifying Mammograms by Density: Sorting for Screening	p. 64
Computer-Aided Detection and Diagnosis of Masses and Clustered Microcalcifications From Digital Mammograms	p. 82
Mammogram Screening Using Multiresolution-Based Image Segmentation	p. 103
Feature Extraction for Computer-Aided Analysis of Mammograms	p. 128
Adaptive Noise Equalization and Recognition of Microcalcification Clusters in Mammograms	p. 148
Artificial Neural Network Based Classification of Mammographic Microcalcifications Using Image Structure Features	p. 167
Detection and Classification of Mammographic Calcifications	p. 198
Comparative Evaluation of Pattern Recognition Techniques for Detection of Microcalcifications in Mammography	p. 213
Digital Mammography: Image Analysis and Automatic Classification of Calcifications in Ductal Carcinoma in situ	p. 232
Automated Detection of Breast Asymmetry Using Anatomical Features	p. 247
Evaluation of Stellate Lesion Detection in a Standard Mammogram Data Set	p. 262
Image Processing and Computer Aided Diagnosis in Digital Mammography "A Radiologist's Perspective"	p. 280
Table of Contents provided by Blackwell. All Rights Reserved.

State of the Art in Digital Mammographic Image Amalysis

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Hardcover

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