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Published in 2021 at "Journal of the mechanical behavior of biomedical materials"
DOI: 10.1016/j.jmbbm.2021.104930
Abstract: Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns…
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Keywords:
burn;
classification;
burn depth;
deep learning ... See more keywords
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Published in 2018 at "Biomedical optics express"
DOI: 10.1364/boe.9.005778
Abstract: Burn depth objective classification is of paramount importance for decision making and treatment. Despite the wide variety of burn depth assessment methods tested so far, none of them have gained wide clinical application. Here, we…
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Keywords:
depth assessment;
burn;
index based;
burn depth ... See more keywords