Digital workflows for pathological assessment of rat estrous cycle stage using images of uterine horn and vaginal tissue

Digital workflows for pathological assessment of rat estrous cycle stage using images of uterine horn and vaginal tissue

Assessment of the estrous cycle of mature female mammals is an important component of verifying the efficacy and safety of drug candidates. The common pathological approach of relying on expert observation has several drawbacks, including laborious work and inter-viewer variability. The recent adven...

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Bibliographic Details
Main Authors: Shinichi Onishi, Riku Egami, Yuya Nakamura, Yoshinobu Nagashima, Kaori Nishihara, Saori Matsuo, Atsuko Murai, Shuji Hayashi, Yoshifumi Uesumi, Atsuhiko Kato, Hiroyuki Tsunoda, Masaki Yamazaki, Hideaki Mizuno
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Digital workflow
Estrous cycle
Image recognition
Deep learning
Pathological assessment
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922007143

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