2D/3D wound segmentation and measurement based on a robot-driven reconstruction system
Chronic wounds, are a worldwide health problem affecting populations and economies as a
whole. With the increase in age-related diseases, obesity, and diabetes, the costs of chronic …
whole. With the increase in age-related diseases, obesity, and diabetes, the costs of chronic …
Internet service for wound area measurement using digital planimetry with adaptive calibration and image segmentation with deep convolutional neural networks
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 …
ulcer causes a 5-year mortality of 50%. Proper treatment of foot wounds is essential, and …
DFU_VIRNet: A novel Visible-InfraRed CNN to improve diabetic foot ulcer classification and early detection of ulcer risk zones
Abstract Diabetic Foot Ulcer (DFU) is considered the most serious complication suffered by
people living with Diabetes Mellitus (DM). The development of an advanced stage of DFU …
people living with Diabetes Mellitus (DM). The development of an advanced stage of DFU …
Improving deep learning based segmentation of scars using multi-view images
J Zhou, Y Dai, D Liu, W Zhu, D **ang, X Chen… - … Signal Processing and …, 2024 - Elsevier
The utilization of deep learning for scar segmentation in photographs enables automated
and non-contact quantitative analysis of skin scars. Meanwhile, multi-view photographs are …
and non-contact quantitative analysis of skin scars. Meanwhile, multi-view photographs are …
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 …
RGB-D Camera-Based Automatic Wound-Measurement System
P Zhang, Y Zhang, Q Li - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Chronic wounds can lead to serious complications such as infection and amputation and
require effective long-term care and monitoring. However, manual wound measurement is …
require effective long-term care and monitoring. However, manual wound measurement is …
In situ bioprinting for cartilage repair using a parallel manipulator
HY Lei, YR Chen, ZB Liu, YN Li, BB Xu… - … Journal of Bioprinting, 2024 - accscience.com
Regeneration of large-sized cartilage injury is a challenging endeavor. In vitro bioprinting for
cartilage repair has several drawbacks, such as the tedious process of material preparation …
cartilage repair has several drawbacks, such as the tedious process of material preparation …
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning
H Narayanan, S Ghanta - arxiv preprint arxiv:2411.02456, 2024 - arxiv.org
Chronic wounds are a significant burden on individuals and the healthcare system, affecting
millions of people and incurring high costs. Wound classification using deep learning …
millions of people and incurring high costs. Wound classification using deep learning …
Wound Segmentation with U-Net Using a Dual Attention Mechanism and Transfer Learning
Accurate wound segmentation is crucial for the precise diagnosis and treatment of various
skin conditions through image analysis. In this paper, we introduce a novel dual attention U …
skin conditions through image analysis. In this paper, we introduce a novel dual attention U …
Advanced Wound Care Training with IoT and LSTM for Dynamic Learning Environments
Wound treatment is an essential part of patient care that requires continuous training and
education for medical personnel. Using Long Short-Term Memory (LSTM) networks for time …
education for medical personnel. Using Long Short-Term Memory (LSTM) networks for time …