Po-Hsuan Huang, Yi-Hsiang Pan, Ying-Sheng Luo, Yi-Fan Chen, Yu-Cheng Lo, Trista Pei-Chun Chen, Cherng-Kang Perng
This paper presents a deep learning-based wound classification tool that can assist medical personnel in non-wound care specialization to classify five key wound conditions, namely deep wound, infected wound, arterial wound, venous wound, and pressure wound, given color images captured using readily available cameras. The accuracy of the classification is vital for appropriate wound management. The proposed wound classification method adopts a multi-task deep learning framework that leverages the relationships among the five key wound conditions for a unified wound classification architecture...
February 8, 2023: Journal of Plastic, Reconstructive & Aesthetic Surgery: JPRAS