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Burns

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Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging.

Journal of biomedical optics Dec 1, 2015
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist burn surgeons in planning and performing debridement surgery. To build a classification model via machine learning, training data accurately represen...
Machine Learning Algorithms Dermoscopy Reproducibility of Results Sensitivity and Specificity Animals Swine Skin Burns Image Interpretation, Computer-Assisted Artifacts Spectrum Analysis Pattern Recognition, Automated Image Enhancement Optical Imaging Subtraction Technique
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Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries Dec 1, 2015
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...
Humans Machine Learning Algorithms Anti-Infective Agents Survival Rate Biomedical Research Length of Stay Wound Healing Burns Body Surface Area Aminoglycosides
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Features identification for automatic burn classification.

Burns : journal of the International Society for Burn Injuries Dec 1, 2015
PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photographs is presented.
Humans Algorithms Databases, Factual Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine Skin Burns Automation Photography Trauma Severity Indices Burn Units
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