Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists

Authors:
Ping Zhang;Jenny Doust;Kuldeep Kumar
Affiliations:
Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia;Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia;Faculty of Business, Technology and Sustainable Development, Bond University, Gold Coast, Australia
Venue:
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Year:
2010

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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 featrues 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.