Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy
Y
Yuta Tokuoka
T
Tsutomu Endo
(Graduate School of Agricultural and Life Sciences, Department of Animal Resource Sciences, The University of Tokyo)
T
Takashi Morikura
Y
Yuki Hiradate
M
Masahito Ikawa
(Department of Experimental Genome Research, Research Institute for Microbial Diseases, The University of Osaka)
A
Akira Funahashi
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
July 01, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (6)
Y
Yuta Tokuoka
T
Tsutomu Endo
Graduate School of Agricultural and Life Sciences, Department of Animal Resource Sciences, The University of Tokyo
T
Takashi Morikura
Y
Yuki Hiradate
M
Masahito Ikawa
Department of Experimental Genome Research, Research Institute for Microbial Diseases, The University of Osaka
A
Akira Funahashi
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