Perceptron error surface analysis: A case study in breast cancer diagnosis

Computers in Biology and Medicine

Volumn 32, Issue 2, 2002, Pages 99-109

  Markey, Mia K ^a,b,c   Lo, Joseph Y ^a,b   Vargas Voracek, Rene ^b   Tourassi, Georgia D ^b   Floyd Jr , Carey E ^a,b  

^a Duke University   (United States)

^b Medical Center   (United States)

^c DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Breast cancer; Computer aided diagnosis; Error surface; Neural network; Perceptron

Indexed keywords

COMPUTER AIDED DIAGNOSIS; MEDICINE; PATIENT TREATMENT; TUMORS;

ERROR SURFACES;

NEURAL NETWORKS;

ANALYTICAL ERROR; ARTICLE; BREAST CARCINOMA; CANCER DIAGNOSIS; COMPUTER AIDED DESIGN; HUMAN; MAMMOGRAPHY; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC;

BREAST; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; DIAGNOSTIC ERRORS; FEMALE; HUMANS; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER);

EID: 0036192204     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(01)00035-X     Document Type: Article

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