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Breast Cancer Diagnosis From Biopsy Images Using Generic Features and SVMs AbstractA fully automatic method for breast cancer diagnosis based on microscopic biopsy images is presented. The method achieves high recognition rates by applying multi-class support vector machines on generic feature vectors that are based on level-set statistics of the images. We also consider the problem of classification with rejection and show preliminary results that point to the potential benefits.
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