|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.|
|Copyright||The above paper is copyright by the Technion, Author(s), or others. Please contact the author(s) for more information|
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