Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound

Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testic...

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Bibliographic Details
Main Authors: Jia-Ying Hu, Zhen-Zhe Lin, Li Ding, Zhi-Xing Zhang, Wan-Ling Huang, Sha-Sha Huang, Bin Li, Xiao-Yan Xie, Ming-De Lu, Chun-Hua Deng, Hao-Tian Lin, Yong Gao, Zhu Wang
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-03-01
Series:Asian Journal of Andrology
Subjects:
azoospermia
deep learning
male infertility
testicular histology
ultrasound
Online Access:https://journals.lww.com/10.4103/aja202480
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