Journal Article10.1038/s41598-025-90780-z
A feature explainability-based deep learning technique for diabetic foot ulcer identification
Pramod Singh Rathore,Abhishek Kumar,Amita Nandal,Arvind Dhaka,Arpit Kumar Sharma +4 more
1
About: This article is published in Dental science reports. The article was published on 25 Feb 2025.
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Citations
Bio-Inspired DFU-ThermoNet: A Spiking Transformer-Driven Framework for Early Diagnosis and Risk Prediction of Diabetic Foot Ulcers Using Thermal Imaging
R. Haris,Raja Marappan +1 more
TL;DR: This study proposes DFU-ThermoNet, a bio-inspired deep learning framework for early diabetic foot ulcer diagnosis and risk prediction using thermal imaging, achieving 98.67% classification accuracy and outperforming state-of-the-art models with high precision, recall, and F1 scores.