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MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation

A new study introduces MicroAUNet, a cutting-edge approach to enhance the segmentation of colorectal polyps in colonoscopy images. This advancement is crucial as accurate segmentation can significantly lower colorectal cancer mortality rates. Unlike existing models that either produce unclear results or require extensive computational resources, MicroAUNet aims to provide clearer margins and faster inference speeds, making it a promising tool for clinicians. This innovation could lead to better patient outcomes and more efficient cancer screenings.
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