Deep learning-based image-analysis algorithm for classification and quantification of multiple histopathological lesions in rat liver-Reference-Cited by-同舟云学术

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Deep learning-based image-analysis algorithm for classification and quantification of multiple histopathological lesions in rat liver

Published:2021 Issue: Volume: Page:
ISSN:0914-9198
Container-title:Journal of Toxicologic Pathology
language:en
Short-container-title:J Toxicol Pathol

Author:

SHIMAZAKI Taishi¹,DESHPANDE Ameya²,HAJRA Anindya²,THOMAS Tijo²,MUTA Kyotaka¹,YAMADA Naohito¹,YASUI Yuzo¹,SHODA Toshiyuki¹

Affiliation:

1. Toxicology Research Laboratories, Central Pharmaceutical Research Institute, Japan Tobacco Inc., 1-13-2 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan

2. AIRA Matrix Private Limited, Dosti Pinnacle, 801, Rd Number 22, Wagle Industrial Estate, Thane, Maharashtra 400604, India

Publisher

Japanese Society of Toxicologic Pathology

Subject

Toxicology,Pathology and Forensic Medicine

Link

https://www.jstage.jst.go.jp/article/tox/advpub/0/advpub_2021-0053/_pdf

Cited by 3 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. Deep Learning-based Modeling for Preclinical Drug Safety Assessment;2024-07-23

2. Toxicological Characteristics of Bacterial Nanocellulose in an In Vivo Experiment—Part 1: The Systemic Effects;Nanomaterials;2024-04-26

3. The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review;Diagnostics;2024-02-10

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