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Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
Identification of patients with early stage non-small cell lung cancer (NSCLC) with high risk of recurrence could help identify patients who would receive additional benefit from adjuvant therapy. In this work, we present a computational histomorphometric image classifier using nuclear orientation,...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5648794/ https://ncbi.nlm.nih.gov/pubmed/29051570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-13773-7 |
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