Studies of responsiveness in the R-EGFR and Rcerb-B2 oncogenes spaces: A customized application for thyroid lesions

Studies in Health Technology and Informatics

Volumn 43, Issue , 1997, Pages 634-637

  Šiška, Arijan ^a   Babić, Ankica ^b   Pavešić, Nikola ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIVARIANT ANALYSIS; ONCOGENIC VIRUSES; TUMORS;

BENIGN LESION; CLASSIFICATION ERRORS; CLINICAL ANALYSIS; DATA DISTRIBUTION; DIAGNOSTIC APPROACH; DISCRIMINATIVE POWER; MISCLASSIFICATIONS; MULTIVARIATE STATISTICS;

DIAGNOSIS;

EPIDERMAL GROWTH FACTOR RECEPTOR; EPIDERMAL GROWTH FACTOR RECEPTOR 2;

ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; EXPERT SYSTEM; GENE EXPRESSION REGULATION; GENETICS; HUMAN; PHYSIOLOGY; SENSITIVITY AND SPECIFICITY; THYROID TUMOR;

ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; RECEPTOR, EPIDERMAL GROWTH FACTOR; RECEPTOR, ERBB-2; SENSITIVITY AND SPECIFICITY; THYROID NEOPLASMS;

EID: 0031318865     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-887-8-634     Document Type: Conference Paper

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