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Authors: Angela Fernanda Palacios Gaxiola, Stewart R. Santos, Sulema Torres-Ramos, Israel Román-Godínez, Ricardo Antonio Salido-Ruiz
Cited by: 0

Abstract

Chronic wound diagnosis using machine learning is hindered by the lighting and shadows in the captured images. Therefore, this study evaluates the impact of different color spaces on wound segmentation using a U-Net. Results show that the YDbDr color space outperforms RGB.

Fields of Study & Subjects

Medical Image Segmentation Techniques Advanced Neural Network Applications Smart Agriculture and AI

Publication details

Journal / source
RECIBE REVISTA ELECTRÓNICA DE COMPUTACIÓN INFORMÁTICA BIOMÉDICA Y ELECTRÓNICA
Volume
14
Issue
3
Publication date
13 January 2026