The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer

Analytical Cellular Pathology

Volumn 35, Issue 4, 2012, Pages 305-314

  Nielsen, Birgitte ^a,b   Albregtsen, Fritz ^a,b   Kildal, Wanja ^a,b   Abeler, Vera M ^a   Kristensen, Gunnar B ^a   Danielsen, Håvard E ^a,b  

^a OSLO UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

Author keywords

Adaptive texture features; early stage ovarian cancer; nuclear texture analysis; pattern classification; prognostic marker

Indexed keywords

ADAPTIVE NUCLEAR TEXTURE; ARTICLE; CANCER STAGING; CANCER SURVIVAL; CELL ISOLATION; CELL NUCLEUS; CYTOLOGY; ENTROPY; FEMALE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; OVARY CANCER; PRIORITY JOURNAL; PROGNOSIS;

ALGORITHMS; CELL NUCLEUS; ENTROPY; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KAPLAN-MEIER ESTIMATE; MICROSCOPY; MULTIVARIATE ANALYSIS; NEOPLASM STAGING; OVARIAN NEOPLASMS; OVARY; PROGNOSIS; RETROSPECTIVE STUDIES; ROSANILINE DYES;

EID: 84862622794     PISSN: 22107177     EISSN: 22107185     Source Type: Journal    
DOI: 10.3233/ACP-2012-0065     Document Type: Article

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