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Wound management poses a significant challenge, particularly for bedriddenpatients and the elderly. Accurate diagnostic and healing monitoring cansignificantly benefit from modern image analysis, providing accurate andprecise measurements of wounds. Despite several existing techniques, theshortage of expansive and diverse training datasets remains a significantobstacle to constructing machine learning-based frameworks. This paperintroduces Syn3DWound, an open-source dataset of high-fidelity simulated woundswith 2D and 3D annotations. We propose baseline methods and a benchmarkingframework for automated 3D morphometry analysis and 2D/3D wound segmentation.

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis