Automated Classification of Second- and Third-Degree Burn Images Using Convolutional Neural Networks

Background: Burn severity assessment is clinically relevant and often requires timely decision-making. Visual classification of second- and third-degree burns remains subjective and prone to observer variability. Methods: This study aimed to develop and evaluate a deep learning model for the automat...

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Autors principals:	Yamile Montecinos-Rodríguez, Francisco J. Torres-Santana, Noureddine Lakouari, Lorena Díaz-González
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-06-01
Col·lecció:	European Burn Journal
Matèries:	burn severity classification burn degree convolutional neural networks deep learning medical image analysis computer-assisted diagnosis
Accés en línia:	https://www.mdpi.com/2673-1991/7/2/33
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