Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images

Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images

BackgroundDiagnosis of kidney transplant rejection currently relies on manual histopathological assessment, which is subjective and susceptible to inter-observer variability, leading to limited reproducibility. We aim to develop a deep learning system for automated assessment of whole-slide images (...

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Bibliographic Details
Main Authors: Yongrong Ye, Liubing Xia, Shicong Yang, You Luo, Zuofu Tang, Yuanqing Li, Lanqing Han, Hanbin Xie, Yong Ren, Ning Na
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Immunology
Subjects:
kidney transplantation
artificial intelligence
renal rejection
hematoxylin eosin-stained slides
pathological assessment
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1438247/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1438247/full

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