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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...
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| Publicat a: | Cell Oncol |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOS Press
2006
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4615946/ https://ncbi.nlm.nih.gov/pubmed/16823177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2006/370173 |
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