IWGDF/IDSA guidelines on the diagnosis and treatment of diabetes‐related foot infections (IWGDF/IDSA 2023)
É Senneville, Z Albalawi, SA van Asten… - Diabetes/metabolism …, 2024 - Wiley Online Library
Abstract The International Working Group on the Diabetic Foot (IWGDF) has published
evidence‐based guidelines on the management and prevention of diabetes‐related foot …
evidence‐based guidelines on the management and prevention of diabetes‐related foot …
The current state of optical sensors in medical wearables
E Vavrinsky, NE Esfahani, M Hausner, A Kuzma… - Biosensors, 2022 - mdpi.com
Optical sensors play an increasingly important role in the development of medical diagnostic
devices. They can be very widely used to measure the physiology of the human body …
devices. They can be very widely used to measure the physiology of the human body …
Guidelines on the diagnosis and treatment of foot infection in persons with diabetes (IWGDF 2019 update)
BA Lipsky, É Senneville, ZG Abbas… - Diabetes/metabolism …, 2020 - Wiley Online Library
Abstract The International Working Group on the Diabetic Foot (IWGDF) has published
evidence‐based guidelines on the prevention and management of diabetic foot disease …
evidence‐based guidelines on the prevention and management of diabetic foot disease …
Towards a better understanding of transfer learning for medical imaging: a case study
Featured Application The proposed intelligent medical system is applicable for a medical
diagnostic system, especially for the diagnosis of diabetic foot ulcer. Abstract One of the …
diagnostic system, especially for the diagnosis of diabetic foot ulcer. Abstract One of the …
[HTML][HTML] A machine learning model for early detection of diabetic foot using thermogram images
A Khandakar, MEH Chowdhury, MBI Reaz… - Computers in biology …, 2021 - Elsevier
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The
prevention of DFU may be achieved by the identification of patients at risk of DFU and the …
prevention of DFU may be achieved by the identification of patients at risk of DFU and the …
Dfunet: Convolutional neural networks for diabetic foot ulcer classification
Globally, in 2016, 1 out of 11 adults suffered from diabetes mellitus. Diabetic foot ulcers
(DFU) are a major complication of this disease, which if not managed properly can lead to …
(DFU) are a major complication of this disease, which if not managed properly can lead to …
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network
Abstract Diabetic Foot Ulcer (DFU) is the main complication of Diabetes, which, if not
properly treated, may lead to amputation. One of the approaches of DFU treatment depends …
properly treated, may lead to amputation. One of the approaches of DFU treatment depends …
Fully convolutional networks for diabetic foot ulcer segmentation
Diabetic Foot Ulcer (DFU) is a major complication of Diabetes, which if not managed
properly can lead to amputation. DFU can appear anywhere on the foot and can vary in size …
properly can lead to amputation. DFU can appear anywhere on the foot and can vary in size …
Deep learning classification for diabetic foot thermograms
I Cruz-Vega, D Hernandez-Contreras… - Sensors, 2020 - mdpi.com
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 …
Image-based artificial intelligence in wound assessment: a systematic review
Significance: Accurately predicting wound healing trajectories is difficult for wound care
clinicians due to the complex and dynamic processes involved in wound healing. Wound …
clinicians due to the complex and dynamic processes involved in wound healing. Wound …