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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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IOS Press
2006
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| 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 |