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Wanling Huang
Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Deep Learning-Enabled Ultrasound Images for Noninvasive and Real-Time Evaluation of Testicular Spermatogenic Function in Patients with Azoospermia
Number of pages: 26
Posted: 29 Sep 2022
Jiaying Hu
,
Zhenzhe Lin
,
Li Ding
,
Zhixing Zhang
, Wanling Huang,
Shasha Huang
,
Bin Li
,
Xiaoyan Xie
,
Ming-De Lu
,
Yong Gao
,
Haotian Lin
and
Zhu Wang
Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics, Sun Yat-sen University (SYSU) - State Key Laboratory of Ophthalmology, Sun Yat-sen University (SYSU) - Department of Pathology, National Health Committee of China (NHCC) - Key Laboratory of Male Reproduction and Genetics, Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics, Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics, Sun Yat-Sen University (SYSU), First Affiliated Hospital, Clinical Trial Unit, Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics, Sun Yat-sen University (SYSU) - Key Laboratory for Reproductive Medicine of Guangdong Province, Sun Yat-sen University (SYSU) - State Key Laboratory of Ophthalmology and Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics
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Abstract:
Ultrasound, Deep learning, Azoospermia, Testicular spermatogenic function
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