Title
Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists
Date of this Version
6-28-2010
Document Type
Conference Paper
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.
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Radiology Commons
This document has been peer reviewed.
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