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Presentation
Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists
2nd International conference on medical biometrics: ICMB 2010
  • Ping Zhang, Bond University
  • Jenny Doust, Bond University
  • Kuldeep Kumar, Bond University
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.

Citation Information
Ping Zhang, Jenny Doust and Kuldeep Kumar. "Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists" 2nd International conference on medical biometrics: ICMB 2010 (2010) p. 363 - 372
Available at: http://works.bepress.com/kuldeep_kumar/31/