Automated Quantification of Trophectoderm Morphology in Human Blastocysts via Instance Segmentation

Exploring foci of: doi.org Automated Quantification of Trophectoderm Morphology in Human Blastocysts via Instance Segmentation October 2025 • Hang Liu, Shanshan Wang, Chen Sun, Guanqiao Shan, Wen‐Yuan Chen, Haocong Song, Changsheng Dai, Lei Chen, Zhuoran Zhang, Xingjian Liu, Haixiang Sun, Y… Segmenting individual trophectoderm (TE) cells is essential for developing quantitative metrics to assess the developmental potential of human blastocyst. The elongated shape and circular arrangement of TE cells lead to continuously varying orientations across the image, posing challenges for existing cell instance segmentation methods that assume uniformly oriented cells. As a result, most methods segment the TE as a single region, and the development of quantitative, cell-level metrics predictive of live birth p… Open Article Page

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