The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer

Background: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. The aim of the study was to evaluate the prognostic...

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Detalles Bibliográficos
Autores principales: Nielsen, Birgitte, Albregtsen, Fritz, Kildal, Wanja, Abeler, Vera M., Kristensen, Gunnar B., Danielsen, Håvard E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2012
Materias:
Other
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605591/
https://www.ncbi.nlm.nih.gov/pubmed/22596183
http://dx.doi.org/10.3233/ACP-2012-0065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605591/
https://www.ncbi.nlm.nih.gov/pubmed/22596183
http://dx.doi.org/10.3233/ACP-2012-0065

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