Prognostic Classification of Early Ovarian Cancer Based on very Low Dimensionality Adaptive Texture Feature Vectors from Cell Nuclei from Monolayers and Histological Sections

In order to study the prognostic value of quantifying the chromatin structure of cell nuclei from patients with early ovarian cancer, low dimensionality adaptive fractal and Gray Level Cooccurrence Matrix texture feature vectors were extracted from nuclei images of monolayers and histological sectio...

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Detalhes bibliográficos
Publicado no:Anal Cell Pathol
Main Authors: Nielsen, Birgitte, Albregtsen, Fritz, Kildal, Wanja, Danielsen, Håvard E.
Formato: Artigo
Idioma:Inglês
Publicado em: IOS Press 2001
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4618001/
https://ncbi.nlm.nih.gov/pubmed/11904463
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2001/683747
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