Neural network-based diagnostic and prognostic estimations in breast cancer microscopic instances

Medical and Biological Engineering and Computing

Volumn 44, Issue 9, 2006, Pages 773-784

  Anagnostopoulos, Ioannis ^a   Maglogiannis, Ilias ^a  

^a UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Breast cancer; Diagnosis; Neuralnetworks; Prognosis; Survivalanalysis

Indexed keywords

ALGORITHMS; DIAGNOSIS; NEURAL NETWORKS; PROBLEM SOLVING; REGRESSION ANALYSIS; TUMORS;

BREAST CANCER; BREAST CANCER DIAGNOSTIC; BREAST CANCER MICROSCOPIC INSTANCES; PROGNOSTIC ESTIMATIONS; SURVIVAL ANALYSIS;

ONCOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASPIRATION BIOPSY; BREAST CANCER; CANCER PATIENT; CANCER RECURRENCE; CANCER SURVIVAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE FREE SURVIVAL; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; PROBABILITY; PROGNOSIS; SENSITIVITY AND SPECIFICITY; TIME SERIES ANALYSIS; VALIDATION PROCESS;

BIOPSY, FINE-NEEDLE; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SURVIVAL ANALYSIS;

EID: 33748514800     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-006-0079-4     Document Type: Article

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