Impact of missing data in evaluating artificial neural networks trained on complete data

Computers in Biology and Medicine

Volumn 36, Issue 5, 2006, Pages 516-525

  Markey, Mia K ^a   Tourassi, Georgia D ^b   Margolis, Michael ^a   DeLong, David M ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Breast neoplasms; Computer assisted; Diagnosis; Mammography

Indexed keywords

BREAST NEOPLASMS; COMPUTER-ASSISTED;

BACKPROPAGATION; COMPUTER AIDED DIAGNOSIS; DATA REDUCTION; MAMMOGRAPHY;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BENIGN TUMOR; BREAST LESION; EVALUATION; HUMAN; HUMAN TISSUE; IMAGING; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MAMMOGRAPHY; MODEL; PREDICTION; PRIORITY JOURNAL; TECHNIQUE;

AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MAMMOGRAPHY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 33646470217     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.02.001     Document Type: Article

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