Date of this Version

6-28-2010

Document Type

Conference Paper

Publication Details

Accepted Version.

Zhang, P., Doust, J., & Kumar, K. (2010). Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. Paper presented at the 2nd International conference on medical biometrics: ICMB 2010, Hong Kong.

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The final publication is available at www.springerlink.com.

2010 HERDC submission. FoR Code: 010400; 080100

© Copyright Springer-Verlag, 2010

Abstract

This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted features including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.

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This document has been peer reviewed.

 

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