Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists2nd International conference on medical biometrics: ICMB 2010
Date of this Version6-28-2010
Document TypeConference Paper
AbstractThis 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 InformationPing 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/