Diabetic foot thermal image segmentation using Double Encoder-ResUnet (DE-ResUnet)

• Published in: Journal of medical engineering & technology Vol. 46; no. 5; pp. 378 - 392
• Main Authors: Bouallal, Doha, Douzi, Hassan, Harba, Rachid
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 04.07.2022
• Subjects: deep learning; Diabetic foot; image segmentation; mobile health; thermal imaging; deep learning; mobile health; image segmentation; thermal imaging; Diabetic foot

The use of thermography in the early diagnosis of Diabetic Foot (DF) has proven its effectiveness in identifying areas of the plantar foot that are susceptible to ulcer development. Segmentation of the foot sole is one of the most pertinent technical issues that must be performed with great precisio...