深度学习在非肿瘤性皮肤病中的应用进展

doi:10.35541/cjd.20220660

Abstract

Abstract: 【Abstract】 With the emergence of the era of big data and the development of computer science, the application of deep learning in dermatology has expanded from the differentiation between benign and malignant cutaneous tumors to the assistance in the diagnosis, severity assessment and treatment of various non-neoplastic dermatoses. This review summarizes recent advances in the application of deep learning in the auxiliary diagnosis and treatment of psoriasis, atopic dermatitis/eczema, onychomycosis, acne vulgaris, etc., so as to raise dermatologists′ understanding of this field and promote the development of related research.

Key words: Artificial intelligence, Psoriasis, Dermatitis, atopic, Onychomycosis, Acne vulgaris, Diagnosis, Deep learning, Non-neoplastic dermatoses, Disease severity assessment, Treatment

Wang Yukun, Liu Jie. Application of deep learning in non-neoplastic dermatoses[J]. Chinese Journal of Dermatology,2024,e20220660. doi:10.35541/cjd.20220660

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Application of deep learning in non-neoplastic dermatoses

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