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F. Fayyazbakhsh

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#artificial intelligence Open access Mar 2026

Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification

Two dedicated instance segmentation models based on YOLOv11 that perform wound boundary segmentation (WBS) and WC across five clinically relevant wound types are presented, demonstrating the potential of YOLOv11-based architectures for accurate, real-time wound analysis in both clinical and remote care settings.

M. Tusar, F. Fayyazbakhsh, Igor Melnychuk et al. · 0 citations

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