Prognostic value of adaptive textural features - The effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area

Cellular Oncology

Volumn 28, Issue 3, 2006, Pages 85-95

  Nielsen, Birgitte ^a   Danielsen, Håvard E ^a,b  

^a OSLO UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Adaptive features; DNA content; Early ovarian cancer; Nuclear area; Nuclear area dependent class distance matrices; Nuclear first order gray level statistics; Nuclear texture analysis; Prognostic classification

Indexed keywords

CELL NUCLEUS DNA;

ANALYTIC METHOD; ARTICLE; CANCER CLASSIFICATION; DNA CONTENT; HUMAN; HUMAN CELL; NUCLEAR TEXTURE ANALYSIS; OVARY CANCER; PRIORITY JOURNAL; PROGNOSIS; STATISTICAL ANALYSIS;

ALGORITHMS; CELL NUCLEUS; CHROMATIN; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; OVARIAN NEOPLASMS; PROGNOSIS;

EID: 33745683812     PISSN: 15705870     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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