A multitarget training method for artificial neural network with application to computer-aided diagnosis

Medical Physics

Volumn 40, Issue 1, 2013, Pages

  Liu, Bei ^a,b   Jiang, Yulei ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

ANN training; artificial neural network (ANN); breast cancer; computer aided diagnosis (CAD); histological subtype

Indexed keywords

COMPUTER AIDED NETWORK ANALYSIS; COMPUTER NETWORKS; DISEASES; MAMMOGRAPHY; MONTE CARLO METHODS; NEURAL NETWORKS;

ANN TRAININGS; BREAST CANCER; CLASSIFICATION PERFORMANCE; CLASSIFICATION TASKS; COMPUTER AIDED DIAGNOSIS(CAD); HISTOLOGICAL SUBTYPE; POSTERIOR PROBABILITY; SIMULATION STUDIES;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST LESION; CLINICAL ARTICLE; COMEDO; COMPUTER ASSISTED DIAGNOSIS; COST; DISEASE CLASSIFICATION; HISTOLOGY; HUMAN; INTRADUCTAL CARCINOMA; MAMMOGRAPHY; MONTE CARLO METHOD; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; TRAINING; BREAST TUMOR; METHODOLOGY; PROBABILITY; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC;

AREA UNDER CURVE; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER); PROBABILITY; ROC CURVE;

EID: 84872046043     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4772021     Document Type: Article

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