Artificial intelligence in dermatology: the 'unsupervised' learning
- PMID: 32086797
- DOI: 10.1111/bjd.18955
Artificial intelligence in dermatology: the 'unsupervised' learning
Comment on
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What is AI? Applications of artificial intelligence to dermatology.Br J Dermatol. 2020 Sep;183(3):423-430. doi: 10.1111/bjd.18880. Epub 2020 Mar 29. Br J Dermatol. 2020. PMID: 31960407 Free PMC article. Review.
References
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- Du-Harpur X, Watt FM, Luscombe NM, Lynch MD. What is AI? Applications of artificial intelligence to dermatology. Br J Dermatol 2020; https://doi.org/10.1111/bjd.18880. [Epub ahead of print].
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- Kharazmi P, Kalia S, Lui H et al. A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile. Skin Res Technol 2018; 24:256-64.
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- Arevalo J, Cruz-Roa A, Arias V et al. An unsupervised feature learning framework for basal cell carcinoma image analysis. Artif Intell Med 2015; 64:131-45.
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- Fujisawa Y, Inoue S, Nakamura Y. The possibility of deep learning-based, computer-aided skin tumor classifiers. Front Med (Lausanne) 2019; 6:191.
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