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Deep learning advances semen analysis for male infertility diagnosis · 3 sources tracked

By PulseAugur Editorial · [3 sources] ·

A review paper published on arXiv details the application of deep learning and computer vision techniques to semen analysis for diagnosing male infertility. The paper synthesizes current AI-driven methods for sperm detection, counting, motility assessment, and morphology classification. It also discusses challenges in clinical translation, such as data scarcity and domain shift, and proposes a roadmap for integrating these AI tools into clinical practice. AI

IMPACT AI integration in semen analysis could lead to more objective and reproducible diagnoses for male infertility, potentially improving treatment planning and assisted reproductive technologies.

RANK_REASON The cluster consists of a research paper detailing AI applications in a medical field.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Deep learning advances semen analysis for male infertility diagnosis · 3 sources tracked

COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

    Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technology. Conventional semen evaluation, however, is labor-intensive, operator-dependent, and limited by i…

  2. arXiv cs.CV TIER_1 English(EN) · Runwei Guan, Shaofeng Liang, Jiacheng Weng, Xiaoyi Gu, Jia Weng, Daizong Liu, Duo Pan, Qingxin Zhang, Xiao Liang, Weiping Ding, Suoyu Zhu, Ming Yuan, Yanhua Fei ·

    Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

    arXiv:2607.05311v1 Announce Type: new Abstract: Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technology. Conventional semen evaluation, however, is labor…

  3. arXiv cs.CV TIER_1 English(EN) · Yanhua Fei ·

    Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

    Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technology. Conventional semen evaluation, however, is labor-intensive, operator-dependent, and limited by i…

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