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

Ping Zhang*, Jenny Doust, Kuldeep Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMedical Biometrics - Second International Conference, ICMB 2010, Proceedings
Pages363-372
Number of pages10
Volume6165 LNCS
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Medical Biometrics, ICMB 2010 - Hong Kong, China
Duration: 28 Jun 201030 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6165 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference2nd International Conference on Medical Biometrics, ICMB 2010
CountryChina
CityHong Kong
Period28/06/1030/06/10

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Cite this

Zhang, P., Doust, J., & Kumar, K. (2010). Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings (Vol. 6165 LNCS, pp. 363-372). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS). https://doi.org/10.1007/978-3-642-13923-9_39