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 …
Application of artificial intelligence methodologies to chronic wound care and management: a sco** review
M Dabas, D Schwartz, D Beeckman… - Advances in wound …, 2023 - liebertpub.com
Significance: As the number of hard-to-heal wound cases rises with the aging of the
population and the spread of chronic diseases, health care professionals struggle to provide …
population and the spread of chronic diseases, health care professionals struggle to provide …
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 …
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 …
Pathological lung segmentation in chest CT images based on improved random walker
C Chen, R **ao, T Zhang, Y Lu, X Guo, J Wang… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective Pathological lung segmentation as a pretreatment step
in the diagnosis of lung diseases has been widely explored. Because of the complexity of …
in the diagnosis of lung diseases has been widely explored. Because of the complexity of …
A systematic overview of recent methods for non-contact chronic wound analysis
Chronic wounds or wounds that are not healing properly are a worldwide health problem
that affect the global economy and population. Alongside with aging of the population …
that affect the global economy and population. Alongside with aging of the population …
Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network
Generative adversarial network (GAN) applications on medical image synthesis have the
potential to assist caregivers in deciding a proper chronic wound treatment plan by …
potential to assist caregivers in deciding a proper chronic wound treatment plan by …
Chronic Wound Image Augmentation and Assessment Using Semi-Supervised Progressive Multi-Granularity EfficientNet
Goal: Augment a small, imbalanced, wound dataset by using semi-supervised learning with
a secondary dataset. Then utilize the augmented wound dataset for deep learning-based …
a secondary dataset. Then utilize the augmented wound dataset for deep learning-based …
A superpixel-wise fully convolutional neural network approach for diabetic foot ulcer tissue classification
Accurate assessment of diabetic foot ulcers (DFU) is primordial to provide an efficient
treatment and to prevent amputation. Traditional DFU assessment methods used by …
treatment and to prevent amputation. Traditional DFU assessment methods used by …
Detection of diabetic foot ulcer using machine/deep learning
D Sadaf, J Amin, M Sharif… - Advances in Deep …, 2022 - taylorfrancis.com
Diabetic foot ulcer (DFU) has become a major diabetes problem nowadays. It can lead to
amputation of the foot if not treated well or on time. DFU treatment is a large-scale problem …
amputation of the foot if not treated well or on time. DFU treatment is a large-scale problem …