Classification of Endometrial Lesions by Nuclear Morphometry Features Extracted from Liquid-based Cytology Samples: A System Based on Logistic Regression Model

Analytical and Quantitative Cytology and Histology

Volumn 36, Issue 4, 2014, Pages 189-198

  Zygouris, Dimitrios ^a   Pouliakis, Abraham ^a   Margari, Niki ^a   Chrelias, Charalampos ^a   Terzakis, Emmanouil ^b   Koureas, Nikolaos ^b   Panayiotides, Ioannis ^a   Karakitsos, Petros ^a  

^a NATIONAL AND KAPODISTRIAN UNIVERSITY OF ATHENS   (Greece)

^b SAINT SAVVAS HOSPITAL   (Greece)

Author keywords

Computer assisted diagnosis; Cytopathology; Endometrial cytology; Image processing; Liquid based cytology; Logistic regression

Indexed keywords

ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; ENDOMETRIUM; ENDOMETRIUM CARCINOMA; ENDOMETRIUM CYTOLOGY; ENDOMETRIUM HYPERPLASIA; FEMALE; HISTOLOGY; HUMAN; IMAGE ANALYSIS; LIQUID BASED CYTOLOGY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MORPHOMETRICS; NUCLEAR MORPHOMETRY; SENSITIVITY AND SPECIFICITY; SMEAR; CANCER CLASSIFICATION; CANCER CYTODIAGNOSIS; CLASSIFICATION ALGORITHM; ENDOMETRIOID CARCINOMA; ENDOMETRIUM CANCER; HISTOPATHOLOGY; HUMAN CELL; HUMAN TISSUE; IMAGE PROCESSOR; LIQUID; MORPHOLOGICAL TRAIT; PRIORITY JOURNAL; SAMPLER; CLASSIFICATION; CYTOLOGY; ENDOMETRIAL NEOPLASMS; IMAGE PROCESSING; PATHOLOGY; STATISTICAL MODEL;

CYTOLOGICAL TECHNIQUES; ENDOMETRIAL NEOPLASMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LOGISTIC MODELS;

EID: 84920502921     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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