Glomerular disease classification and lesion identification by machine learning

Glomerular disease classification and lesion identification by machine learning

Background: Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. In this regard, recent advance in machine learning...

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Bibliographic Details
Main Authors: Cheng-Kun Yang, Ching-Yi Lee, Hsiang-Sheng Wang, Shun-Chen Huang, Peir-In Liang, Jung-Sheng Chen, Chang-Fu Kuo, Kun-Hua Tu, Chao-Yuan Yeh, Tai-Di Chen
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Biomedical Journal
Subjects:
Machine learning
Deep learning
Kidney biopsy
Glomerulonephritis
Online Access:http://www.sciencedirect.com/science/article/pii/S2319417021001116

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http://www.sciencedirect.com/science/article/pii/S2319417021001116

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