AINeutralarXiv – CS AI · Jun 46/10
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AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Grading
Researchers propose AttnRegDeepLab, a deep learning framework that automates embryo fragmentation grading for IVF procedures with improved clinical interpretability. The method combines attention-guided segmentation with regression analysis to eliminate subjective manual assessment while maintaining accuracy and transparency in developmental potential evaluation.