Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning

Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time‐consuming tasks require a more accurate and reproducible quantitative analysis method. We established derivation and validati...

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Detalles Bibliográficos
Autores principales: Zeng, Caihong, Nan, Yang, Xu, Feng, Lei, Qunjuan, Li, Fengyi, Chen, Tingyu, Liang, Shaoshan, Hou, Xiaoshuai, Lv, Bin, Liang, Dandan, Luo, WeiLi, Lv, Chuanfeng, Li, Xiang, Xie, Guotong, Liu, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496925/
https://www.ncbi.nlm.nih.gov/pubmed/32542677
http://dx.doi.org/10.1002/path.5491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496925/
https://www.ncbi.nlm.nih.gov/pubmed/32542677
http://dx.doi.org/10.1002/path.5491

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