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English(EN) EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo

EMBRACE AI框架改进IVF胚胎质量评估

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了EMBRACE，一个新颖的多任务深度学习框架，旨在提高体外受精（IVF）中胚胎分裂期的质量评估。该系统集成了来自显微镜图像的细胞质碎片分割、发育阶段分类和卵裂球对称性分级。通过结合ResNet-50骨干网络、多尺度特征融合模块和特定任务的分类头，EMBRACE旨在克服传统视觉评估中固有的观察者变异性。该框架在独立的测试集上表现强劲，在发育阶段分类方面取得了高精度，并在碎片分割和对称性分级方面取得了稳健的指标，尽管临床部署仍需要外部验证。 AI

影响 该框架可以标准化和提高IVF胚胎评估的准确性，可能带来更高的成功率。

排序理由 该集群包含一篇详细介绍特定应用新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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EMBRACE AI框架改进IVF胚胎质量评估

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该集群包含一篇详细介绍特定应用新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Anwar Hussain Sofi, Jung-Hua Wang, Ming-Jer Chen, Tsung-Hsien Lee, Yu-Chiao Yi, Ming-Kuan Lin, Yi-Chung Lai ·

    EMBRACE：用于胚胎卵裂期全面质量评估的多任务框架

    arXiv:2607.10093v1 Announce Type: new Abstract: Cleavage-stage embryo assessment in in vitro fertilization requires the integrated interpretation of cytoplasmic fragmentation, developmental stage, and blastomere symmetry. However, conventional visual assessment is affected by obs…

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