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Entropy-Based Adaptive Nuclear Texture Features are Independent Prognostic Markers in a Total Population of Uterine Sarcomas
Nuclear texture analysis measures the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image and is a promising quantitative tool for prognosis of cancer. The aim of this study was to evaluate the prognostic value of entropy-based adaptive nuclear texture features in a...
Zapisane w:
| Wydane w: | Cytometry A |
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| Główni autorzy: | , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BlackWell Publishing Ltd
2015
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4409852/ https://ncbi.nlm.nih.gov/pubmed/25483227 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22601 |
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