Advances in Machine Learning-Aided Thermal Imaging for Early Detection of Diabetic Foot Ulcers: A Review

Advances in Machine Learning-Aided Thermal Imaging for Early Detection of Diabetic Foot Ulcers: A Review

The prevention and early warning of foot ulcers are crucial in diabetic care; however, early microvascular lesions are difficult to detect and often diagnosed at later stages, posing serious health risks. Infrared thermal imaging, as a rapid and non-contact clinical examination technology, can sensi...

Full description

Saved in:
Bibliographic Details
Main Authors: Longyan Wu, Ran Huang, Xiaoyan He, Lisheng Tang, Xin Ma
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biosensors
Subjects:
diabetic foot ulcer
thermal imaging
two-dimensional signal processing
machine learning
Online Access:https://www.mdpi.com/2079-6374/14/12/614
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2079-6374/14/12/614

Similar Items