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English(EN) SpermYOLO: A Coordinated YOLO-Based Detector for Accurate and Efficient Sperm and Impurity Detection in Microscopic Images

SpermYOLO AI模型增强了显微镜下精子和杂质的检测

研究人员开发了SpermYOLO,一个源自YOLOv11的新AI模型,旨在精确检测显微图像中的精子和杂质。该框架包含多项架构增强,包括用于特征提取的C3k2-IDB,用于语义增强的D2SEM,用于特征融合的MFM,以及用于预测的DESD Head。在SVIA精液显微成像基准测试中,SpermYOLO在精子和杂质检测方面均取得了高精度,在保持模型轻量化的同时,性能优于现有检测器。该模型在SDTB睾丸活检基准测试中也表现出有效性,能够处理小型精子目标和复杂背景。 AI

影响 该模型提高了医学成像中精子检测的准确性和效率,有望辅助生殖技术。

排序理由 该集群描述了一篇在arXiv上发表的研究论文中提出的新AI模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SpermYOLO AI模型增强了显微镜下精子和杂质的检测

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该集群描述了一篇在arXiv上发表的研究论文中提出的新AI模型。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Shengqi Chen, Zilin Wang, Xingyu Pan, Wenting Yu, Pengchao Deng, Guohua Wu ·

    SpermYOLO:一种协调的基于YOLO的检测器,用于显微图像中精子和杂质的准确高效检测

    arXiv:2609.14278v1 Announce Type: cross Abstract: Accurate sperm detection is essential for computer-assisted semen analysis, yet it remains challenging in microscopic images due to dense distributions, visually similar artifacts, and sperm-like impurities. In this paper, we prop…