AESPNet: attention enhanced stacked parallel network to improve automatic diabetic foot ulcer identification
Abstract Diabetic Foot Ulcer (DFU) is a severe complication of diabetes, and it may cause
lower limb amputation. However, the manual diagnosis of DFU is a complicated and …
lower limb amputation. However, the manual diagnosis of DFU is a complicated and …
[HTML][HTML] Light weight convolutional neural network and low-dimensional images transformation approach for classification of thermal images
YS Taspinar - Case Studies in Thermal Engineering, 2023 - Elsevier
Thermal energy is emitted in the infrared range between X-ray and Gamma rays, which are
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
[HTML][HTML] Gait acceleration-based diabetes detection using hybrid deep learning
Diabetes is a medical condition affecting multiple organs and systems due to high blood
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
[HTML][HTML] MEFF–A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
L Alzubaidi, ALD Khamael, HAH Obeed… - Intelligent Systems With …, 2024 - Elsevier
Adversarial attacks pose a significant threat to deep learning models, specifically medical
images, as they can mislead models into making inaccurate predictions by introducing …
images, as they can mislead models into making inaccurate predictions by introducing …
The impact of machine learning on the prediction of diabetic foot ulcers–a systematic review.
T Weatherall, P Avsar, L Nugent, Z Moore… - Journal of Tissue …, 2024 - Elsevier
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 …
[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 …
Automated Diabetic Foot Ulcer Detection and Classification Using Deep Learning
Diabetic foot ulcers (DFU) are a common and serious complication in individuals with
diabetes, and early detection plays a crucial role in effective treatment and prevention of …
diabetes, and early detection plays a crucial role in effective treatment and prevention of …
DFU_VIRNet: A novel Visible-InfraRed CNN to improve diabetic foot ulcer classification and early detection of ulcer risk zones
J Reyes-Luévano, JA Guerrero-Viramontes… - … Signal Processing and …, 2023 - Elsevier
Abstract Diabetic Foot Ulcer (DFU) is considered the most serious complication suffered by
people living with Diabetes Mellitus (DM). The development of an advanced stage of DFU …
people living with Diabetes Mellitus (DM). The development of an advanced stage of DFU …
Effectiveness of ConvNeXt variants in diabetic feet diagnosis using plantar thermal images
O Fasihi-Shirehjini… - Quantitative InfraRed …, 2024 - Taylor & Francis
Diabetic foot ulcers are one of the most significant complications experienced by patients
with Diabetes Mellitus (DM), which can result in amputation and demise; therefore, it is …
with Diabetes Mellitus (DM), which can result in amputation and demise; therefore, it is …
[PDF][PDF] Advancing Diabetic Foot Ulcer Detection Based On Resnet And Gan Integration
Diabetes, characterized by the body's inability to effectively regulate sugar levels due to
insulin complications, leads to various serious health issues. Among these, Diabetic Foot …
insulin complications, leads to various serious health issues. Among these, Diabetic Foot …