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机译:使用空间频域成像和机器学习的烧伤创面分类模型
University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States;
University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States;
University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States;
University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States;
United States Army Institute of Surgical Research, San Antonio, Texas, United States;
United States Army Institute of Surgical Research, San Antonio, Texas, United States;
CUC Irvine Regional Burn Center, Department of Surgery, Orange, California, United States;
University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States,University of California, Irvine, Department of Biomedical Engineering, Irvine, California, United States;
machine learning; spatial frequency-domain imaging; multispectral and hyperspectral imaging; support vector machine; bums; spectroscopy;
机译:使用空间频域成像和机器学习燃烧伤口分类模型
机译:血液污迹图像中传统机器学习与深层学习模型的综述
机译:使用空间频域成像(SFDI)和激光散斑成像(LSI)在猪模型中定量评估烧伤创面
机译:基于空间频域成像(SFDI)和机器学习的简单烧伤严重程度评估分类器
机译:用于学习自然图像中空间交互作用的模型,用于基于上下文的分类。
机译:使用空间频域成像和机器学习的烧伤创面分类模型
机译:线性与非线性极限学习机用于高光谱图像的光谱空间分类
机译:使用空间频域成像(sFDI)和激光散斑成像(LsI)定量评估猪模型中的分级烧伤创面。