Computer-aided detection (CAD) in screening mammography

Ronald A. Castellino · Cancer Imaging · 2000

Interpretation of radiological (and other complex medical) images is challenging due to an often overwhelming amount of visual data, much of which is of no consequence and which often serves to confound the observer. In addition, there are well-recognized physiologic obstacles to visual search and recognition, which contribute to false-negative radiological interpretations. The interpretation of screening mammograms is particularly challenging, because a large number of cases are viewed to detect a small number of cancers (3–10 cancers per 1000 women screened), which are often manifest by subtle alterations superimposed upon the complex radiographic structure of the breast.

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