[HTML][HTML] ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost
We describe a new deep learning model-Convolutional eXtreme Gradient Boosting
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …
Robust methods for real-time diabetic foot ulcer detection and localization on mobile devices
Current practice for diabetic foot ulcers (DFU) screening involves detection and localization
by podiatrists. Existing automated solutions either focus on segmentation or classification. In …
by podiatrists. Existing automated solutions either focus on segmentation or classification. In …
[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 …
[HTML][HTML] Can thermography predict diabetic foot ulcer risk in patients with diabetes mellitus? A systematic review
Background There is a growing prevalence of diabetic foot ulcers (DFUs) in patients with
diabetes mellitus and the use of thermography has sparked interest in a non-invasive …
diabetes mellitus and the use of thermography has sparked interest in a non-invasive …
Deep learning classification for diabetic foot thermograms
According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the
most prevalent diseases in the world. It is also associated with a high mortality index …
most prevalent diseases in the world. It is also associated with a high mortality index …
A deep learning method for early detection of diabetic foot using decision fusion and thermal images
Diabetes mellitus (DM) is one of the major diseases that cause death worldwide and lead to
complications of diabetic foot ulcers (DFU). Improper and late handling of a diabetic foot …
complications of diabetic foot ulcers (DFU). Improper and late handling of a diabetic foot …
[HTML][HTML] Fourier transform-based data augmentation in deep learning for diabetic foot thermograph classification
Diabetes Mellitus (DM) belongs to the ten diseases group with the highest mortality rate
globally, with an estimated 578 million cases by 2030, according to the World Health …
globally, with an estimated 578 million cases by 2030, according to the World Health …
Visualizing the knowledge structure and research evolution of infrared detection technology studies
This paper aims to explore the current status, research trends and hotspots related to the
field of infrared detection technology through bibliometric analysis and visualization …
field of infrared detection technology through bibliometric analysis and visualization …
Automated characterization of diabetic foot using nonlinear features extracted from thermograms
Diabetic foot is a major complication of diabetes mellitus (DM). The blood circulation to the
foot decreases due to DM and hence, the temperature reduces in the plantar foot …
foot decreases due to DM and hence, the temperature reduces in the plantar foot …
Biomedical applications of infrared thermal imaging: current state of machine learning classification
Infrared thermal (IRT) imaging is a modality that allows non-invasive and non-ionizing
monitoring of skin surface temperature distribution, providing underlining physiological …
monitoring of skin surface temperature distribution, providing underlining physiological …