Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas

Cytometry Part A

Volumn 87, Issue 4, 2015, Pages 315-325

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

^a OSLO UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Adaptive features; Endometrial stromal sarcoma; Entropy; Leiomyosarcoma; Nuclear texture analysis; Nucleotyping; Prognostic markers; Uterine sarcomas

Indexed keywords

TUMOR MARKER;

ALGORITHM; CELL NUCLEUS; ENDOMETRIUM SARCOMA; ENTROPY; FEMALE; HUMAN; IMAGE PROCESSING; LEIOMYOSARCOMA; MORTALITY; MULTIVARIATE ANALYSIS; PATHOLOGY; PHYSIOLOGY; PROGNOSIS; RETROSPECTIVE STUDY; STAINING; UTERUS CANCER;

ALGORITHMS; BIOMARKERS, TUMOR; CELL NUCLEUS; ENTROPY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEIOMYOSARCOMA; MULTIVARIATE ANALYSIS; PROGNOSIS; RETROSPECTIVE STUDIES; SARCOMA, ENDOMETRIAL STROMAL; STAINING AND LABELING; UTERINE NEOPLASMS;

EID: 84925351740     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22601     Document Type: Article

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