The impact of machine learning on the prediction of diabetic foot ulcers–a systematic review.
Introduction Globally, diabetes mellitus poses a significant health challenge as well as the
associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early …
associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early …
Artificial cognition for detection of mental disability: a vision transformer approach for Alzheimer's disease
Alzheimer's disease is a common neurological disorder and mental disability that causes
memory loss and cognitive decline, presenting a major challenge to public health due to its …
memory loss and cognitive decline, presenting a major challenge to public health due to its …
[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 …
Feature ranking by variational dropout for classification using thermograms from diabetic foot ulcers
Diabetes mellitus presents a high prevalence around the world. A common and long-term
derived complication is diabetic foot ulcers (DFUs), which have a global prevalence of …
derived complication is diabetic foot ulcers (DFUs), which have a global prevalence of …
[PDF][PDF] Applications of Machine Learning in Diabetic Foot Ulcer Diagnosis using Multimodal Images: A Review.
Diabetes related complications such as Diabetic Foot Ulcers (DFU) may necessitate
recurrent hospitalisations and expensive treatments. Uncontrolled diabetes can result in …
recurrent hospitalisations and expensive treatments. Uncontrolled diabetes can result in …
Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics
Convolutional neural network (CNN) models were devised and evaluated to classify infrared
thermal (IRT) images of pediatric wrist fractures. The images were recorded from 19 …
thermal (IRT) images of pediatric wrist fractures. The images were recorded from 19 …
Contrastive Learning approach for blind Hyperspectral Unmixing (CLHU)
The Contrastive Learning for blind Hyperspectral Unmixing (CLHU) is a self-supervised
deep learning approach for blind hyperspectral unmixing. Unlike existing deep learning …
deep learning approach for blind hyperspectral unmixing. Unlike existing deep learning …
Optimizing Diabetic Foot Ulcer Detection: Leveraging SSD and YOLO Architectures
Diabetic foot ulcer (DFU) are a severe complication in diabetic patients, requiring accurate
and early diagnosis to prevent further complications such as infection or amputation. To …
and early diagnosis to prevent further complications such as infection or amputation. To …
Differential Diagnosis of Diabetic Foot Osteomyelitis and Charcot Neuropathic Osteoarthropathy with Deep Learning Methods
Our study aims to evaluate the potential of a deep learning (DL) algorithm for differentiating
the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic …
the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic …
Thermal Radiomics for Early Detection of Diabetic Foot Ulcers Using Infrared Thermography
Diabetic foot ulceration (DFU) is a severe and prevalent complication of diabetes mellitus,
leading to high rates of amputation and mortality. Abnormal plantar foot temperature …
leading to high rates of amputation and mortality. Abnormal plantar foot temperature …