A survey of wound image analysis using deep learning: Classification, detection, and segmentation
Wounds not only harm the physical and mental health of patients, but also introduce huge
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
FUSeg: The foot ulcer segmentation challenge
Wound care professionals provide proper diagnosis and treatment with heavy reliance on
images and image documentation. Segmentation of wound boundaries in images is a key …
images and image documentation. Segmentation of wound boundaries in images is a key …
Clinically validated classification of chronic wounds method with memristor-based cellular neural network
J Secco, E Spinazzola, M Pittarello, E Ricci… - Scientific Reports, 2024 - nature.com
Chronic wounds are a syndrome that affects around 4% of the world population due to
several pathologies. The COV-19 pandemic has enforced the need of developing new …
several pathologies. The COV-19 pandemic has enforced the need of developing new …
A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images
Pressure ulcers can be life-threatening, and accurate staging is crucial for proper treatment.
Manual methods for ulcer detection and staging are subjective and prone to errors. Since …
Manual methods for ulcer detection and staging are subjective and prone to errors. Since …
Automated chronic wounds medical assessment and tracking framework based on deep learning
Chronic wounds are a latent health problem worldwide, due to high incidence of diseases
such as diabetes and Hansen. Typically, wound evolution is tracked by medical staff through …
such as diabetes and Hansen. Typically, wound evolution is tracked by medical staff through …
Towards home-based diabetic foot ulcer monitoring: a systematic review
It is considered that 1 in 10 adults worldwide have diabetes. Diabetic foot ulcers are some of
the most common complications of diabetes, and they are associated with a high risk of …
the most common complications of diabetes, and they are associated with a high risk of …
An enhanced harmonic densely connected hybrid transformer network architecture for chronic wound segmentation utilising multi-colour space tensor merging
Chronic wounds and associated complications present ever growing burdens for clinics and
hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming …
hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming …
Tomographic reconstruction from planar thermal imaging using convolutional neural network
In this study, we investigate perspectives for thermal tomography based on planar infrared
thermal images. Volumetric reconstruction of temperature distribution inside an object is …
thermal images. Volumetric reconstruction of temperature distribution inside an object is …
Can deep learning wound segmentation algorithms developed for a dataset be effective for another dataset? A specific focus on diabetic foot ulcers
Diabetic foot ulcers (DFU) represent a severe complication, often resulting from poor
glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs …
glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs …
[HTML][HTML] Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis
R Cavazzana, A Faccia, A Cavallaro, M Giuranno… - Applied Sciences, 2025 - mdpi.com
Skin ulcers are open wounds on the skin characterized by the loss of epidermal tissue. Skin
ulcers can be acute or chronic, with chronic ulcers persisting for over six weeks and often …
ulcers can be acute or chronic, with chronic ulcers persisting for over six weeks and often …