Deep Learning-Based Model Significantly Improves Diagnostic Performance for Assessing Renal Histopathology in Lupus Glomerulonephritis

Deep Learning-Based Model Significantly Improves Diagnostic Performance for Assessing Renal Histopathology in Lupus Glomerulonephritis

Background: Assessment of glomerular lesions and structures plays an essential role in understanding the pathological diagnosis of glomerulonephritis and prognostic evaluation of many kidney diseases. Renal pathophysiological assessment requires novel high-throughput tools to conduct quantitative, u...

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Bibliographic Details
Main Authors: Luping Shen, Wenyi Sun, Qixiang Zhang, Mengru Wei, Huanke Xu, Xuan Luo, Guangji Wang, Fang Zhou
Format: Article
Language:English
Published: Karger Publishers 2022-06-01
Series:Kidney Diseases
Subjects:
deep learning
nephritis assessment
histopathology assessment model
renal pathology score
Online Access:https://www.karger.com/Article/FullText/524880

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https://www.karger.com/Article/FullText/524880

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