Advancements in nanofibers for wound dressing: A review
Chronic wound healing is an intricate time-consuming process (healing time∼ 12 weeks),
susceptible to external biological attack such as bacteria (eg E. coli, B. subtilis, S. aureus …
susceptible to external biological attack such as bacteria (eg E. coli, B. subtilis, S. aureus …
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 …
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 …
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 …
[HTML][HTML] Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques
Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an
emerging research area with the evolution of image-based machine learning algorithms …
emerging research area with the evolution of image-based machine learning algorithms …
Area determination of diabetic foot ulcer images using a cascaded two-stage SVM-based classification
L Wang, PC Pedersen, E Agu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The standard chronic wound assessment method based on visual examination is potentially
inaccurate and also represents a significant clinical workload. Hence, computer-based …
inaccurate and also represents a significant clinical workload. Hence, computer-based …
Machine learning in the prevention, diagnosis and management of diabetic foot ulcers: A systematic review
J Tulloch, R Zamani, M Akrami - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetic foot ulcers (DFUs) are a serious complication for people with diabetes. They result
in increased morbidity and pressures on health system resources. Developments in …
in increased morbidity and pressures on health system resources. Developments in …
Methods to assess area and volume of wounds–a systematic review
LB Jørgensen, JA Sørensen… - International wound …, 2016 - Wiley Online Library
Wound measurement is important in monitoring the healing process of chronic wounds and
in evaluating the effect of treatment. The objective of this systematic review was to evaluate …
in evaluating the effect of treatment. The objective of this systematic review was to evaluate …
Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods
Pressure injuries represent a tremendous healthcare challenge in many nations. Elderly and
disabled people are the most affected by this fast growing disease. Hence, an accurate …
disabled people are the most affected by this fast growing disease. Hence, an accurate …
Deep transfer learning-based visual classification of pressure injuries stages
Pressure injury follow-up and treatment is a very costly and significant health care problem
for many countries. Early and accurate diagnosis and treatment planning are critical for …
for many countries. Early and accurate diagnosis and treatment planning are critical for …