A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring

M Kaselimi, E Protopapadakis, A Doulamis… - Frontiers in …, 2022 - frontiersin.org
Diabetic foot complications have multiple adverse effects in a person's quality of life. Yet,
efficient monitoring schemes can mitigate or postpone any disorders, mainly by early …

FUSegNet: A deep convolutional neural network for foot ulcer segmentation

MK Dhar, T Zhang, Y Patel, S Gopalakrishnan… - … Signal Processing and …, 2024 - Elsevier
This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes
patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of …

Exploring transfer learning in medical image segmentation using vision-language models

K Poudel, M Dhakal, P Bhandari, R Adhikari… - arXiv preprint arXiv …, 2023 - arxiv.org
Medical Image Segmentation is crucial in various clinical applications within the medical
domain. While state-of-the-art segmentation models have proven effective, integrating …

Self-monitoring diabetes-related foot ulcers with the MyFootCare app: a mixed methods study

B Ploderer, D Clark, R Brown, J Harman, PA Lazzarini… - Sensors, 2023 - mdpi.com
People with diabetes-related foot ulcers (DFUs) need to perform self-care consistently over
many months to promote healing and to mitigate risks of hospitalisation and amputation …

[PDF][PDF] Applications of Machine Learning in Diabetic Foot Ulcer Diagnosis using Multimodal Images: A Review.

V Mayya, V Tummala, CU Reddy, P Mishra… - … International Journal of …, 2023 - iaeng.org
Diabetes related complications such as Diabetic Foot Ulcers (DFU) may necessitate
recurrent hospitalisations and expensive treatments. Uncontrolled diabetes can result in …

[HTML][HTML] Diabetic foot ulcers segmentation challenge report: Benchmark and analysis

MH Yap, B Cassidy, M Byra, T Liao, H Yi… - Medical Image …, 2024 - Elsevier
Monitoring the healing progress of diabetic foot ulcers is a challenging process. Accurate
segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound …

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss

H Yi, W Xu, Z Jiang, J Gao, Q Kang, Q Lao… - Diabetic Foot Ulcers Grand …, 2022 - Springer
Diabetic foot ulcer is a serious manifestation of lesions on the diabetic foot that requires
close monitoring and management. The research at hand investigates an approach on …

Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models

M Hassib, M Ali, A Mohamed, M Torki… - Diabetic Foot Ulcers …, 2022 - Springer
Diabetes is a rising global epidemic, it was estimated that in 2017 there are 451 million
(aged 18–99 years) people with diabetes worldwide, and it is expected to increase to 693 …

Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study

MK Dhar, C Wang, Y Patel, T Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU)
images is a challenging task and little work has been published, largely due to the limited …

Diabetic Foot Ulcer Grand Challenge 2022 Summary

C Kendrick, B Cassidy, ND Reeves… - Diabetic Foot Ulcers …, 2022 - Springer
Abstract The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer
segmentation, based on the work completed in previous DFU challenges. The challenge …