Non‐invasive techniques for wound assessment: A comprehensive review

C Zhao, Y Guo, L Li, M Yang - International Wound Journal, 2024 - Wiley Online Library
Efficient wound assessment is essential for healthcare teams to facilitate prompt diagnosis,
optimize treatment plans, reduce workload, and enhance patients' quality of life. In recent …

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey

Y Xu, TM Khan, Y Song, E Meijering - Artificial Intelligence Review, 2025 - Springer
Edge deep learning, a paradigm change reconciling edge computing and deep learning,
facilitates real-time decision making attuned to environmental factors through the close …

A multi-task convolutional neural network for classification and segmentation of chronic venous disorders

B Oliveira, HR Torres, P Morais, F Veloso… - Scientific Reports, 2023 - nature.com
Abstract Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent
medical conditions, affecting 35% of adults in Europe and North America. Due to the …

Internet service for wound area measurement using digital planimetry with adaptive calibration and image segmentation with deep convolutional neural networks

P Foltynski, P Ladyzynski - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
Uncontrolled diabetes leads to serious complications comparable to cancer. Infected foot
ulcer causes a 5-year mortality of 50%. Proper treatment of foot wounds is essential, and …

[HTML][HTML] Quantification of efflorescences in pustular psoriasis using deep learning

L Amruthalingam, O Buerzle… - Healthcare …, 2022 - synapse.koreamed.org
Objectives Pustular psoriasis (PP) is one of the most severe and chronic skin conditions. Its
treatment is difficult, and measurements of its severity are highly dependent on clinicians' …

Fast and accurate 3-D spine MRI segmentation using FastCleverSeg

JS Ramos, MT Cazzolato, OC Linares… - Magnetic Resonance …, 2024 - Elsevier
Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for
analyzing various spinal diseases. However, traditional methods are either laborious and …

Artificial marker to predict (Banganapalle) mango fruit size at multi-targets of an image using semantic segmentation

DN Nenavath, B Perumal - IEEE Access, 2024 - ieeexplore.ieee.org
Getting the size of any fruit on a tree is not an easy task especially mango fruit, because of its
irregular shape, it is not easy to model with its shape. The size of the fruit is expected in …

Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices

V Borst, T Dittus, K Müller, S Kounev - German Conference on Artificial …, 2024 - Springer
The aging population poses numerous challenges to healthcare, including the increase in
chronic wounds in the elderly. The current approach to wound assessment by therapists …

Convolution Neural Network with Coordinate Attention for Real-Time Wound Segmentation and Automatic Wound Assessment

Y Sun, W Lou, W Ma, F Zhao, Z Su - Healthcare, 2023 - mdpi.com
Background: Wound treatment in emergency care requires the rapid assessment of wound
size by medical staff. Limited medical resources and the empirical assessment of wounds …

Detection of Chronic Venous Disease

R Katkar, A Desai, A Patil, N Lengare… - … on Wireless and …, 2024 - ieeexplore.ieee.org
Chronic venous disease (CVD) affects many people worldwide, especially women, due to
stress and work life. Ignoring symptoms like varicose veins can lead to serious problems …