A survey of wound image analysis using deep learning: Classification, detection, and segmentation

R Zhang, D Tian, D Xu, W Qian, Y Yao - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] FusionSegNet: Fusing global foot features and local wound features to diagnose diabetic foot

T Lan, Z Li, J Chen - Computers in Biology and Medicine, 2023 - Elsevier
Abstract The Diabetic Foot (DF) is threatening every diabetic patient's health. Every year,
more than one million people suffer amputation in the world due to lack of timely diagnosis …

[HTML][HTML] An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis

J Chae, J Kim - Applied Sciences, 2023 - mdpi.com
A significant amount of research has investigated automating medical diagnosis using deep
learning. However, because medical data are collected through diagnostic tests, deep …

[HTML][HTML] Dermoscopic image segmentation based on pyramid residual attention module

Y Jiang, T Cheng, J Dong, J Liang, Y Zhang, X Lin… - Plos one, 2022 - journals.plos.org
We propose a stacked convolutional neural network incorporating a novel and efficient
pyramid residual attention (PRA) module for the task of automatic segmentation of …

Region-Based Semi-Two-Stream Convolutional Neural Networks for Pressure Ulcer Recognition

C Zalluhoğlu, D Akdoğan, D Karakaya… - Journal of Imaging …, 2024 - Springer
Pressure ulcers are a common, painful, costly, and often preventable complication
associated with prolonged immobility in bedridden patients. It is a significant health problem …

Bearing faulty prognostic approach based on multiscale feature extraction and attention learning mechanism

Y Zhou, J Wang, Z Wang - Journal of Sensors, 2021 - Wiley Online Library
Recently, researches on data‐driven faulty identification have been achieving increasing
attention due to the fast development of the modern conditional monitoring technology and …

Applying Deep Learning to Establish a Telemedicine Assistance System: A Case Study of the Stage Classification of Pressure Injuries

C Ming-Chuan, TY Tseng, CC Chang… - … Engineering in a …, 2023 - books.google.com
The current medical system still uses manual work for the assessment of pressure injuries.
For medical staff, it consumes lots of time and energy, and is difficult to maintain a consistent …

Quantification of Diabetic Foot Ulcer Based on Ulcer Segmentation

H Jin, L Liu - 2022 IEEE International Conference on Industrial …, 2022 - ieeexplore.ieee.org
The Diabetic Foot (DF) is a common and severe complication of diabetes. Many people
suffer from diabetic foot ulcers (DFU) caused by diabetic feet. The quantification of DFU in …

Random Sparsity Defense Against Adversarial Attack

N Hu, T Lu, W Guo, Q Huang, G Liu, S Chang… - PRICAI 2021: Trends in …, 2021 - Springer
More recently, with the development of deep learning and the expansion of its applications,
deep learning became the targets of attackers. Researchers found that adversarial …

AUTOMATIC ASSESSMENT OF BURN INJURIES USING ARTIFICIAL INTELLIGENCE

D Chanci Arrubla - 2021 - hammer.purdue.edu
Accurate assessment of burn injuries is critical for the correct management of such wounds.
Depending on the total body surface area affected by the burn, and the severity of the injury …