Rapid detection of mouse spermatogenic defects by testicular cellular composition analysis via enhanced deep learning model.
Ao N, Zang M, Lu Y, Jiao Y, Lu H, Cai C, Wang X, Li X, Xie M, Zhao T, Xu J, Xu EY.
Ao N, et al.
Andrology. 2024 Oct 7. doi: 10.1111/andr.13773. Online ahead of print.
Andrology. 2024.
PMID: 39375288
OBJECTIVES: Establish an expeditious histopathological analysis of mutant mice testicular sections stained with commonly available hematoxylin and eosin (H&E) via enhanced deep learning model MATERIALS AND METHODS: Automated segmentation and cellular composition analysis on t …
OBJECTIVES: Establish an expeditious histopathological analysis of mutant mice testicular sections stained with commonly available hematoxyl …