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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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| Опубликовано в: : | Anal Cell Pathol (Amst) |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IOS Press
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4605591/ https://ncbi.nlm.nih.gov/pubmed/22596183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/ACP-2012-0065 |
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