Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automated recognition of glomerular lesions in the kidneys of mice by using deep learning
por: Akatsuka, Airi, et al.
Publicado: (2022) -
Identification and external validation of IgA nephropathy patients benefiting from immunosuppression therapy
por: Chen, Tingyu, et al.
Publicado: (2020) -
Severity of Coexisting Diabetic Glomerular Lesions Affects Outcomes in Primary Glomerular Disease
por: Perincheri, Sudhir
Publicado: (2023) -
GLOMERULAR LESIONS OF SUBACUTE BACTERIAL ENDOCARDITIS
por: Baehr, George
Publicado: (1912) -
Glomerular disease classification and lesion identification by machine learning
por: Yang, Cheng-Kun, et al.
Publicado: (2022)