Self-detection of diabetic foot ulcer using thermography and deep learning

Al Wahaibi, Hajer Sulaiman Nasser and Alismaili, Taqwa Ali Mohammed and Al Hussaini, Mohammed Abdulla Salim and Al Husaini, Yousuf Nasser and Habaebi, Mohamed Hadi and Abdulghafor, Rawad (2026) Self-detection of diabetic foot ulcer using thermography and deep learning. In: 2025 10th International Conference on Computer and Communication Engineering (ICCCE), 26-27 August 2025, KOE, IIUM.

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Abstract

Diabetic foot ulcers (DFUs) are a severe complication of diabetes, necessitating early detection to mitigate morbidity and mortality. Current diagnostic methods are often manual, time-consuming, and lack real-time automated solutions. This study proposes a deep learning framework leveraging thermal imaging for real-time DFU detection. Utilizing a dataset of 1,800 high-resolution thermal images (1,440×1,080 pixels) categorized into "Healthy" and "Ulcer" classes, the framework integrates preprocessing techniques—noise reduction, contrast adjustment, and resizing—to optimize input quality. The model’s performance is benchmarked against Inception V3 and MobileNet V2, evaluating accuracy, precision, recall, and computational efficiency. Results demonstrate that the proposed model achieves 100% validation accuracy and near-zero loss (0.0006%) by epoch 10, significantly outperforming Inception V3 (86.3% accuracy) and MobileNet V2 (85.55% accuracy). The confusion matrices reveal perfect classification for the proposed model, with no misclassifications, underscoring its clinical reliability.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	Deep learning, Diabetic Foot Ulcer, Selfdetection, Thermography.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	30 Apr 2026 09:32
Last Modified:	30 Apr 2026 09:32
Queue Number:	2026-04-Q2961
URI:	http://irep.iium.edu.my/id/eprint/128498

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