Technical Report CS-2008-07

Title: Breast Cancer Diagnosis From Biopsy Images Using Generic Features and SVMs
Authors: Alexander Brook, Ran El-Yaniv, Eran Isler, Ron Kimmel, Ron Meir, Dori Peleg
Abstract: A 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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