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Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study
Site variation in fixation, staining, and scanning can confound automated tissue based image classifiers for disease characterization. In this study we incorporated stability into four feature selection methods for identifying the most robust and discriminating features for two prostate histopatholo...
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| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6175913/ https://ncbi.nlm.nih.gov/pubmed/30297720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-33026-5 |
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