Ultrasound assessed thickness of burn scars in association with
Example of skin/burn marking: original colour image on the left
PDF) Spatial attention-based residual network for human burn identification and classification
A deep learning model for burn depth classification using
A deep learning model for burn depth classification using
GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn
PDF] Fast GLCM and Gabor Filters for Texture Classification of Very High Resolution Remote Sensing Images
A deep learning model for burn depth classification using
A deep convolutional neural network-based approach for detecting
GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn
Real-time Burn Classification using Ultrasound Imaging
A deep learning model for burn depth classification using
An example of an ultrasound image. Subcutaneous tissue (ST
Frontiers Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis
New Imaging Technique to Assess Burn Injuries
