[HTML][HTML] Artificial intelligence methodologies applied to technologies for screening, diagnosis and care of the diabetic foot: A narrative review
Diabetic foot syndrome is a multifactorial pathology with at least three main etiological
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
[HTML][HTML] Advances in machine learning-aided thermal imaging for early detection of diabetic foot ulcers: a review
L Wu, R Huang, X He, L Tang, X Ma - Biosensors, 2024 - mdpi.com
The prevention and early warning of foot ulcers are crucial in diabetic care; however, early
microvascular lesions are difficult to detect and often diagnosed at later stages, posing …
microvascular lesions are difficult to detect and often diagnosed at later stages, posing …
Design and implementation of a smart insole system to measure plantar pressure and temperature
An intelligent insole system may monitor the individual's foot pressure and temperature in
real-time from the comfort of their home, which can help capture foot problems in their …
real-time from the comfort of their home, which can help capture foot problems in their …
Early detection of diabetic foot ulcers from thermal images using the bag of features technique
MH Alshayeji, SCB Sindhu - Biomedical Signal Processing and Control, 2023 - Elsevier
The most common diabetes complication, diabetic foot ulcer (DFU), can result in amputation
if not managed effectively. Early diagnosis is thus critical, yet DFU symptoms cannot be …
if not managed effectively. Early diagnosis is thus critical, yet DFU symptoms cannot be …
Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools
Meeting the rising global demand for healthcare diagnostic tools is crucial, especially with a
shortage of medical professionals. This issue has increased interest in utilizing deep …
shortage of medical professionals. This issue has increased interest in utilizing deep …
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including
Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of …
Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of …
Detection of diabetes mellitus with deep learning and data augmentation techniques on foot thermography
Diabetes mellitus (DM) is a metabolic disorder characterized by increased blood glucose.
The pathology can manifest itself with different conditions, including neuropathy, the main …
The pathology can manifest itself with different conditions, including neuropathy, the main …
ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification
Efficient waste management is essential to minimizing environmental harm as well as
encouraging sustainable progress. The escalating volume and sophistication of waste …
encouraging sustainable progress. The escalating volume and sophistication of waste …
[HTML][HTML] Towards accurate Diabetic Foot Ulcer image classification: Leveraging CNN pre-trained features and extreme learning machine
Diabetes mellitus (DM) can cause irreversible tissue damage in the legs, leading to foot
ulcers that are difficult to heal. Early detection is crucial in preventing further complications …
ulcers that are difficult to heal. Early detection is crucial in preventing further complications …
Automatic classification of foot thermograms using machine learning techniques
Diabetic foot is one of the main complications observed in diabetic patients; it is associated
with the development of foot ulcers and can lead to amputation. In order to diagnose these …
with the development of foot ulcers and can lead to amputation. In order to diagnose these …