Potential of the learning vector quantizer in the cell classification of endometrial lesions in postmenopausal women

Analytical and Quantitative Cytology and Histology

Volumn 24, Issue 1, 2002, Pages 30-38

  Karakitsos, Petros ^a   Kyroudes, Aspassia ^a   Pouliakis, Abraham ^a   Botsoli Stergiou, Efi ^a   Voulgaris, Zannis ^a   Kittas, Christos ^a  

^a NONE   (Greece)

Author keywords

Endometrial neoplasms; Image analysis, computer assisted; Learning vector quantizer; Morphometry; Neural networks (computer); Postmenopause

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL DIFFERENTIATION; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DISEASE CLASSIFICATION; DISEASE COURSE; ENDOMETRIUM; ENDOMETRIUM ATROPHY; ENDOMETRIUM CARCINOMA; ENDOMETRIUM HYPERPLASIA; ENDOMETRIUM TUMOR; FEMALE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; LEARNING; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MORPHOMETRICS; POSTMENOPAUSE; PRIORITY JOURNAL;

ADENOCARCINOMA; AGED; AGED, 80 AND OVER; CELL NUCLEUS; ENDOMETRIAL HYPERPLASIA; ENDOMETRIAL NEOPLASMS; ENDOMETRIUM; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); POSTMENOPAUSE; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS;

EID: 0036175093     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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