@inbook{cfea8b73e8704c35bc8da6c0ec0da3b3,
title = "Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists",
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.",
author = "Ping Zhang and Jenny Doust and Kuldeep Kumar",
year = "2010",
doi = "10.1007/978-3-642-13923-9_39",
language = "English",
isbn = "3642139221",
volume = "6165 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "363--372",
booktitle = "Medical Biometrics - Second International Conference, ICMB 2010, Proceedings",
note = "2nd International Conference on Medical Biometrics, ICMB 2010 ; Conference date: 28-06-2010 Through 30-06-2010",
}