An Intelligent Diagnostic Model for Melasma Based on Deep Learning and Multimode Image Input
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Dermatology
Link
https://link.springer.com/content/pdf/10.1007/s13555-022-00874-z.pdf
Reference38 articles.
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2. Pandya AG, Hynan LS, Bhore R, et al. Reliability assessment and validation of the Melasma Area and Severity Index (MASI) and a new modified MASI scoring method. J Am Acad Dermatol. 2011;64(1):78–83.
3. Ikino JK, Nunes DH, Silva VP, Fröde TS, Sens MM. Melasma and assessment of the quality of life in Brazilian women. An Bras Dermatol. 2015;90(2):196–200.
4. Passeron T, Picardo M. Melasma, a photoaging disorder. Pigment Cell Melanoma Res. 2018;31(4):461–5.
5. Handel AC, Miot LD, Miot HA. Melasma: a clinical and epidemiological review. An Bras Dermatol. 2014;89(5):771–82.
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