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Mammographic Image Analysis
R. Highnam
J.M. Brady
出版
Springer Science & Business Media
, 2012-12-06
主題
Medical / Radiology, Radiotherapy & Nuclear Medicine
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Image Processing
Medical / Oncology / General
Medical / Diagnostic Imaging / General
Medical / Clinical Medicine
Computers / Optical Data Processing
ISBN
9401146136
9789401146135
URL
http://books.google.com.hk/books?id=wFbtCAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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 manage 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 informa tion, precision, and reliability (very few false positives), and the image pro cessing challenge becomes quite daunting, in fact it pushes image analysis techniques right to their limits.