Classification of histological images of the endometrium using texture features

Analytical and Quantitative Cytology and Histology

Volumn 35, Issue 2, 2013, Pages 105-113

  Vlachokosta, Alexandra A ^a   Asvestas, Pantelis A ^b   Matsopoulos, George K ^a   Kondi Pafiti, Agatha ^c   Vlachos, Nikos ^c  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

^c UNIVERSITY OF ATHENS   (Greece)

Author keywords

Endometrium; Histology; Neural networks (anatomic); Wavelet analysis

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL CLASSIFICATION; ENDOMETRIUM; ENDOMETRIUM CANCER; FEMALE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; WAVELET ANALYSIS; ALGORITHM; CANCER DIAGNOSIS; CONTROLLED STUDY; DECOMPOSITION; DIAGNOSTIC ACCURACY; HISTOLOGY;

ADULT; ENDOMETRIAL NEOPLASMS; ENDOMETRIUM; FEMALE; HUMANS; IMAGE CYTOMETRY; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84875777867     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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