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Conference Open access Sep 2026

A Survey of Artificial Intelligence in Endoscopic Surgery Workflow: From Perception to Surgical Support

Endoscopic surgery demands continuous real-time visual decision-making under severe constraints, including a limited field of view, motion blur, and dynamically deforming anatomy. These factors impose substantial cognitive load on surgeons and motivate the integration of artificial intelligence (AI) throughout the endo...

Juliyusa Bā, Hao Chen, Xiao-Han Xing et al. · 0 citations
Sep 2026

Annotation-efficient Semi-supervised and Active Learning for Breast Cancer Segmentation in DCE-MRI.

Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for diagnosis and treatment planning. Despite advances in deep learning, its performance remains constrained by the need for extensive voxel-wise annotations. To mitigate this burden, we propose an annotation-e...

Ze-Tian Feng, Quan-Ling Zou, Yu Xie et al. · 0 citations

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