Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules

Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney diseases. Deep learning-based approaches have developed rapidly and have been applied in renal pathology. However, methods for the automated classification of normal and abnormal renal tubules remain scarc...

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Detalles Bibliográficos
Autores principales: Hara, Satoshi, Haneda, Emi, Kawakami, Masaki, Morita, Kento, Nishioka, Ryo, Zoshima, Takeshi, Kometani, Mitsuhiro, Yoneda, Takashi, Kawano, Mitsuhiro, Karashima, Shigehiro, Nambo, Hidetaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273082/
https://www.ncbi.nlm.nih.gov/pubmed/35816495
http://dx.doi.org/10.1371/journal.pone.0271161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273082/
https://www.ncbi.nlm.nih.gov/pubmed/35816495
http://dx.doi.org/10.1371/journal.pone.0271161

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