title: Automated feature set selection and its application to MCC identification in digital mammograms for breast cancer detection.
abstract: We propose a fully automated algorithm that is able to select a discriminative feature set from a training database via sequential forward selection (SFS), sequential backward selection (SBS), and F-score methods. We applied this scheme to microcalcifications cluster (MCC) detection in digital mammograms for early breast cancer detection. The system was able to select features fully automatically, regardless of the input training mammograms used. We tested the proposed scheme using a database of 111 clinical mammograms containing 1,050 microcalcifications (MCs). The accuracy of the system was examined via a free response receiver operating characteristic (fROC) curve of the test dataset. The system performance for MC identifications was Az = 0.9897, the sensitivity was 92%, and 0.65 false positives (FPs) were generated per image for MCC detection.
authors.affiliation: Department of Radiology, China Medical University Hospital, Taichung, Taiwan. yijhe@xuite.net
authors.forename: Yi-Jhe
authors.initials: YJ
authors.lastname: Huang
authors.forename: Ding-Yuan
authors.initials: DY
authors.lastname: Chan
authors.forename: Da-Chuan
authors.initials: DC
authors.lastname: Cheng
authors.forename: Yung-Jen
authors.initials: YJ
authors.lastname: Ho
authors.forename: Po-Pang
authors.initials: PP
authors.lastname: Tsai
authors.forename: Wu-Chung
authors.initials: WC
authors.lastname: Shen
authors.forename: Rui-Fen
authors.initials: RF
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001331:Automation; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D002114:Calcinosis / Q000000981:diagnostic imaging*; D016208:Databases, Factual; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D006801:Humans; D008327:Mammography / Q000379:methods*; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted; D015203:Reproducibility of Results; D060388:Support Vector Machine