WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care (Supplementary Material)
Year: 2025
Type: conference-paper
Abstract: This file contains the supplementary material for our paper "WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care", which has been accepted for publication at the Applied Data Science (ADS) track of ECML PKDD 2025.
Author: Borst, Vanessa
Institution: University of Würzburg
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911897465
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