State-of-the-Art Features for Early-Stage Detection of Diabetic Foot Ulcers Based on Thermograms

State-of-the-Art Features for Early-Stage Detection of Diabetic Foot Ulcers Based on Thermograms

Diabetic foot ulcers represent the most frequently recognized and highest risk factor among patients affected by diabetes mellitus. The associated recurrent rate is high, and amputation of the foot or lower limb is often required due to infection. Analysis of infrared thermograms covering the entire...

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Bibliographic Details
Main Authors: Natalia Arteaga-Marrero, Abián Hernández-Guedes, Jordan Ortega-Rodríguez, Juan Ruiz-Alzola
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Biomedicines
Subjects:
thermography
infrared
deep learning
feature extraction
diabetic foot
Online Access:https://www.mdpi.com/2227-9059/11/12/3209

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