Entropy-Based Adaptive Nuclear Texture Features are Independent Prognostic Markers in a Total Population of Uterine Sarcomas

Nuclear texture analysis measures the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image and is a promising quantitative tool for prognosis of cancer. The aim of this study was to evaluate the prognostic value of entropy-based adaptive nuclear texture features in a...

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Detalles Bibliográficos
Autores principales: Nielsen, Birgitte, Hveem, Tarjei Sveinsgjerd, Kildal, Wanja, Abeler, Vera M, Kristensen, Gunnar B, Albregtsen, Fritz, Danielsen, Håvard E, Rohde, Gustavo K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Special Section: Computational Analysis of Cell Images
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409852/
https://www.ncbi.nlm.nih.gov/pubmed/25483227
http://dx.doi.org/10.1002/cyto.a.22601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409852/
https://www.ncbi.nlm.nih.gov/pubmed/25483227
http://dx.doi.org/10.1002/cyto.a.22601

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