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Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations.

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第一作者： Hyeon Ki,Jeong

第一单位： Duke Dermatology, Duke University School of Medicine, Durham, North Carolina, USA.;Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.

作者： Hyeon Ki,Jeong ^[1] ; Christine,Park ^[2] ; Ricardo,Henao ^[3] ; Meenal,Kheterpal ^[2]

作者单位： Duke Dermatology, Duke University School of Medicine, Durham, North Carolina, USA.;Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA. ^[1] Duke Dermatology, Duke University School of Medicine, Durham, North Carolina, USA. ^[2] Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA. ^[3]

关键词 AI, artificial intelligence CDS, clinical decision-support CNN, convolutional neural network FDA, Food and Drug Administration ISIC, International Skin Imaging Collaboration ML, machine learning MNIST, Modified National Institute of Standards and Technology SVM, support vector machine SaMD, Software as a Medical Device

DOI 10.1016/j.xjidi.2022.100150

PMID 36655135

发布时间 2023-01-20

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JID innovations

2023年3卷1期

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Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations.

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