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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Detalles Bibliográficos
Autores principales: Wei, Jason W., Tafe, Laura J., Linnik, Yevgeniy A., Vaickus, Louis J., Tomita, Naofumi, Hassanpour, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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