Interstitial fibrosis and tubular atrophy measurement via hierarchical extractions of kidney and atrophy regions with deep learning method-Reference-Cited by-同舟云学术

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Interstitial fibrosis and tubular atrophy measurement via hierarchical extractions of kidney and atrophy regions with deep learning method

Published:2022-10 Issue: Volume:202 Page:111885
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Lai Yexin,Liu Xueyu,Wu Yongfei,Zhou Daoxiang,Wang Chen,Niu Dan,Han Weixia,Zhou Xiaoshuang,Chen Jiayan,Zheng Wen

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference30 articles.

1. Deep learning-driven quantification of interstitial fibrosis in digitized kidney biopsies;Zheng;Amer. J. Pathol.,2021

2. Automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis;Ginley;J. Am. Soc. Nephrol.,2021

3. Glomerulus classification and detection based on convolutional neural networks;Gallego;J. Imaging,2018

4. Faster R-CNN-based glomerular detection in multistained human whole slide images;Kawazoe;J. Imaging,2018

5. Segmentation of glomeruli within trichrome images using deep learning;Kannan;Kidney Int. Rep.,2019

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