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Updated: Jun 18, 2025
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A Seminiferous Tubule Squash Technique for the Cytological Analysis of Spermatogenesis Using the Mouse Model
Published on: February 6, 2018
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Development of a deep-learning model for detecting positive tubules during sperm recovery for nonobstructive
Teppei Takeshima1, Jurii Karibe1, Shinnosuke Kuroda1
1Department of Urology, Reproduction Center, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan.
Reproduction (Cambridge, England)
|July 29, 2024
Abstract:
To enhance surgical testicular sperm retrieval outcome for men with nonobstructive azoospermia, a deep-learning model was developed to identify positive seminiferous tubules by labeling 110 images with sperm-containing tubules sampled during microdissection testicular sperm extraction as training and validation data. After training, the model achieved an average precision of 0.60.
