Deep-learning–based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy | Graduate School of Agricultural and Life Sciences, The University of Tokyo

Deep-learning–based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy

Authors

Yuta Tokuoka, Tsutomu Endo, Takashi Morikura, Yuki Hiradate, Masahito Ikawa & Akira Funahashi

Paper Information

Journal: : Scientific Reports
DOI: : 10.1038/s41598-025-06727-x