Dfu-siam a novel diabetic foot ulcer classification with deep learning
Diabetes affects roughly 537 million people in the world, and it is predicted to reach 783
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …
Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data
Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds
SK Das, S Namasudra, AK Sangaiah - Multimedia Systems, 2024 - Springer
The diabetic foot ulcer (DFU) is a significant medical complication for diabetic patients,
which often leads to lower limb amputation. The manual identification of ischaemia in DFU is …
which often leads to lower limb amputation. The manual identification of ischaemia in DFU is …
Exploit the visual sentiment of the item images to fuse with textual sentiment in context aware collaborative filtering
LH Wu - Expert Systems with Applications, 2025 - Elsevier
Recommendation systems (RS) are widely used to predict users' preferences for items in
many research areas. Context-aware recommendation systems (CARS) exploit different …
many research areas. Context-aware recommendation systems (CARS) exploit different …
A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection
Abstract Diabetic Foot Ulcers (DFUs) are a critical healthcare issue requiring early detection.
Although deep learning models show promise in DFU diagnosis, their large parameter sizes …
Although deep learning models show promise in DFU diagnosis, their large parameter sizes …
Joint-Module Health Status Recognition for an Unmanned Platform: A Time–Frequency Representation and Extraction Network-Based Approach
S Zhu, G Yang, S Song, R Du, H Yuan - Machines, 2024 - mdpi.com
Due to the complex structure of the joint module and harsh working conditions of unmanned
platforms, the fault information is often overwhelmed by noise. Moreover, traditional …
platforms, the fault information is often overwhelmed by noise. Moreover, traditional …
Classification of Images Related to Kidney Cancer using Hybrid Deep Learning
Kidney cancer is a very critical condition that require prompt diagnosis to successful
treatment. In this study, it is proposed an enhanced hybrid deep learning (DL) model for …
treatment. In this study, it is proposed an enhanced hybrid deep learning (DL) model for …
[PDF][PDF] Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data. Diagnostics 2023, 13, 2637
Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
Mobile Application for Diabetic Foot Ulcer Detection
This article presents the development of a mobile application aimed at healthcare
professionals, which uses Convolutional Neural Networks to identify injuries in patients with …
professionals, which uses Convolutional Neural Networks to identify injuries in patients with …