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πŸ“

Mammographic Image Analysis

✍ Scribed by Ralph Highnam, Michael Brady (auth.)


Publisher
Springer Netherlands
Year
1999
Tongue
English
Leaves
383
Series
Computational Imaging and Vision 14
Edition
1
Category
Library

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✦ Synopsis


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 manageΒ­ ment of women with breast cancer, ranging from novel chemotherapy and radiotherapy treatments to conservative surgery. The next twenty years are likely to see computerized image analysis playing an increasingly important role in patient management. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest. There are many reasons for this: highly variable and irregular shapes of the objects of interest, changing imaging conditions, and the densely textured nature of the images. Add to this the increasing need for quantitative informaΒ­ tion, precision, and reliability (very few false positives), and the image proΒ­ cessing challenge becomes quite daunting, in fact it pushes image analysis techniques right to their limits.

✦ Table of Contents


Front Matter....Pages i-xi
Front Matter....Pages 1-1
Introduction....Pages 1-27
Front Matter....Pages 29-29
A Model of Mammogram Image Formation....Pages 31-55
A Model of Scattered Radiation....Pages 57-76
A Model of Extra-Focal Radiation....Pages 77-89
Estimating the Thickness of a Compressed Breast....Pages 91-102
Model Verification and Sensitivity....Pages 103-120
Front Matter....Pages 121-121
Image Enhancement....Pages 123-142
Disease Simulation....Pages 143-150
Breast Compression....Pages 151-174
Removing the Anti-Scatter Grid....Pages 175-190
Calcifications....Pages 191-223
Curvilinear Structures....Pages 225-250
Masses....Pages 251-284
Front Matter....Pages 285-285
Breast MRI....Pages 287-331
Other Modalities and Future Prospects....Pages 333-356
Back Matter....Pages 357-379

✦ Subjects


Diagnostic Radiology; Computer Imaging, Vision, Pattern Recognition and Graphics; Oncology; Imaging / Radiology


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