Design and comparison of machine learning-based computer-aided diagnostic techniques to aid diagnosis of diabetes and detection of ulcer-prone regions in the feet using thermograms
Design and comparison of machine learning-based computer-aided diagnostic techniques to aid diagnosis of diabetes and detection of ulcer-prone regions in the feet using thermograms
N. V. Balasenthilkumaran,Barath Ram S,2 Authors,Rahul Soangra
2022 · DOI: 10.1007/s42600-022-00217-z
Research on Biomedical Engineering · 6 Citations
TLDR
This work presents machine learning (ML) and image processing-based algorithms to detect and diagnose DFUs and diabetes using thermal images of the feet and finds the most optimal diagnostic method for diabetes diagnosis.