Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features

Oncology Reports

Volumn 15, Issue 4, 2006, Pages 1023-1026

  Cochand Priollet, Beatrix ^a   Koutroumbas, Konstantinos ^b   Megalopoulou, Tatiana Mona ^c   Pouliakis, Abraham ^c   Sivolapenko, Gregory ^d   Karakitsos, Petros ^e  

^a HÔPITAL LARIBOISIÈRE   (France)

^b NATIONAL OBSERVATORY OF ATHENS   (Greece)

^c UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^d UNIVERSITY OF PATRAS   (Greece)

^e NATIONAL AND KAPODISTRIAN UNIVERSITY OF ATHENS   (Greece)

Author keywords

Bayesian classifier; Combined neural network; Discriminant analysis; Feedforward neural network; Linear classifier; Morphometry; Quantitative cytology; Thyroid lesions

Indexed keywords

ANTHROPOMETRY; ARTICLE; ARTIFICIAL INTELLIGENCE; EVALUATION; HUMAN; NEEDLE BIOPSY; PATHOLOGY; STATISTICAL ANALYSIS; THYROID DISEASE; THYROID TUMOR;

ANTHROPOMETRY; ARTIFICIAL INTELLIGENCE; BIOPSY, FINE-NEEDLE; DATA INTERPRETATION, STATISTICAL; HUMANS; THYROID DISEASES; THYROID NEOPLASMS;

EID: 33645788345     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.15.4.1023     Document Type: Article

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