Prognostic Value of Adaptive Textural Features–The Effect of Standardizing Nuclear First-Order Gray Level Statistics and Mixing Information from Nuclei Having Different Area

Background: Nuclear texture analysis is a useful method to obtain quantitative information for use in prognosis of cancer. The first-order gray level statistics of a digitized light microscopic nuclear image may be influenced by variations in the image input conditions. Therefore, we have previously...

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Detalles Bibliográficos
Autores principales: Nielsen, Birgitte, Danielsen, Håvard E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2006
Materias:
Other
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615946/
https://www.ncbi.nlm.nih.gov/pubmed/16823177
http://dx.doi.org/10.1155/2006/370173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615946/
https://www.ncbi.nlm.nih.gov/pubmed/16823177
http://dx.doi.org/10.1155/2006/370173

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