AI RESEARCH
Improving Automated Wound Assessment Using Joint Boundary Segmentation and Multi-Class Classification Models
arXiv CS.AI
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ArXi:2603.27325v1 Announce Type: cross Accurate wound classification and boundary segmentation are essential for guiding clinical decisions in both chronic and acute wound management. However, most existing AI models are limited, focusing on a narrow set of wound types or performing only a single task (segmentation or classification), which reduces their clinical applicability.