Automated assessment of diabetic foot ulcers: Estimation of PWAT categories using radiomic features and machine learning
Automated assessment of diabetic foot ulcers: Estimation of PWAT categories using radiomic features and machine learning
Marcelo Márquez-Sandoval,Benjamín Morales Carvajal,Julio Sotelo Parraguez,Ana Aguilera
0 Citations
TLDR
An automated pipeline for quantifying six categories of the Photographic Wound Assessment Tool was developed and validated using a dataset of 1,153 expert-annotated photographic images of diabetic foot ulcers, demonstrating the feasibility of a reproducible, quantitative, and fully automated system for standardizing the evaluation of diabetic foot ulcers.