Automated recognition of glomerular lesions in the kidneys of mice by using deep learning-Reference-Cited by-同舟云学术

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Automated recognition of glomerular lesions in the kidneys of mice by using deep learning

Published:2022 Issue: Volume:13 Page:100129
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Akatsuka Airi,Horai Yasushi,Akatsuka Airi

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference20 articles.

1. Automated histological classification of whole-slide images of gastric biopsy specimens;Yoshida;Gastric Cancer,2018

2. Automated histological classification of whole slide images of colorectal biopsy specimens;Yoshida;Oncotarget.,2017

3. Tumour and immune cell dynamics explain the PSA bounce after prostate cancer brachytherapy;Yamamoto;Br J Cancer,2016

4. Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer;Veta;Mod Pathol,2012

5. A deep learning convolutional neural network can recognize common patterns of injury in gastric pathology;Martin;Arch Pathol Lab Med,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Small Molecule APOL1 Inhibitors as a Precision Medicine Approach for APOL1-mediated Kidney Disease;2024-04-08

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