Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers

Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers

Diabetes mellitus presents a high prevalence around the world. A common and long-term derived complication is diabetic foot ulcers (DFUs), which have a global prevalence of roughly 6.3%, and a lifetime incidence of up to 34%. Infrared thermograms, covering the entire plantar aspect of both feet, can...

Full description

Bibliographic Details
Main Authors: Abian Hernandez-Guedes, Natalia Arteaga-Marrero, Enrique Villa, Gustavo M. Callico, Juan Ruiz-Alzola
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
thermography
infrared
deep learning
feature extraction
diabetic foot
Online Access:https://www.mdpi.com/1424-8220/23/2/757

Internet

https://www.mdpi.com/1424-8220/23/2/757

Similar Items