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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399447/ https://www.ncbi.nlm.nih.gov/pubmed/30833650 http://dx.doi.org/10.1038/s41598-019-40041-7 |