Quantitative interpretation of infrared images of lower limbs in individuals with and without type 2 diabetes mellitus.

Edgar Israel Fuentes-Oliver Rosalinda Ortiz-SosaRaúl Serrano-LoyolaRebeca Solalinde-VargasCrescencio García-Segundo

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)

The linearity properties that exist between the ATR and TRI indices allow a quantitative interpretation of the information extracted from IR images of the lower extremities of individuals with and without DM2, and allow the construction of a representation space that eliminates possible ambiguities in the interpretation, while simplifying it, making it accessible for clinical use.

Keyphrases

deep learning
convolutional neural network
high resolution
optical coherence tomography
glycemic control
healthcare
type diabetes
cardiovascular disease
machine learning
health information
soft tissue
oxidative stress