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- Author: Shinnosuke Kuroda x
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Teppei Takeshima
Teppei Takeshima
Department of Urology, Reproduction Center, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
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Jurii Karibe
Jurii Karibe
Department of Urology, Reproduction Center, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
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Shinnosuke Kuroda
Shinnosuke Kuroda
Department of Urology, Reproduction Center, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
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Yasushi Yumura
Yasushi Yumura
Department of Urology, Reproduction Center, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
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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.
