MIXTURE of human expertise and deep learning—developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease

Interstitial pneumonia is a heterogeneous disease with a progressive course and poor prognosis, at times even worse than those in the main cancer types. Histopathological examination is crucial for its diagnosis and estimation of prognosis. However, the evaluation strongly depends on the experience...

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Detalles Bibliográficos
Autores principales: Uegami, Wataru, Bychkov, Andrey, Ozasa, Mutsumi, Uehara, Kazuki, Kataoka, Kensuke, Johkoh, Takeshi, Kondoh, Yasuhiro, Sakanashi, Hidenori, Fukuoka, Junya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314248/
https://www.ncbi.nlm.nih.gov/pubmed/35197560
http://dx.doi.org/10.1038/s41379-022-01025-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314248/
https://www.ncbi.nlm.nih.gov/pubmed/35197560
http://dx.doi.org/10.1038/s41379-022-01025-7

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