PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Breast Cancer Diagnosis From Biopsy Images Using Generic Features and SVMs
Alexander Brook, Ran El-Yaniv, Eran Issler, Ron Kimmel, Ron Meir and Dori Peleg
IEEE Transactions on Information Technology in Biomedicine Volume In press, 2007.

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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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Brain Computer Interfaces
ID Code:2664
Deposited By:Ron Meir
Deposited On:22 November 2006