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Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade and treatment for patients. However, this task is often challenging due to the heterogeneous nature of lung adenocarcinoma and the subjective criteria for evaluation. In this study, we propose a deep...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6399447/ https://ncbi.nlm.nih.gov/pubmed/30833650 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-40041-7 |
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