An Intelligent Diagnostic Model for Melasma Based on Deep Learning and Multimode Image Input

Introduction The diagnosis of melasma is often based on the naked-eye judgment of physicians. However, this is a challenge for inexperienced physicians and non-professionals, and incorrect treatment might have serious consequences. Therefore, it is important to develop an accurate method for melasma...

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Bibliographic Details
Published in:	Dermatology and therapy Vol. 13; no. 2; pp. 569 - 579
Main Authors:	Liu, Lin, Liang, Chen, Xue, Yuzhou, Chen, Tingqiao, Chen, Yangmei, Lan, Yufan, Wen, Jiamei, Shao, Xinyi, Chen, Jin
Format:	Journal Article
Language:	English
Published:	Cheshire Springer Healthcare 01.02.2023 Springer Springer Nature B.V
Subjects:	Accuracy Computer-aided medical diagnosis Deep learning Dermatology Diagnosis Image processing Internal Medicine Light Machine learning Medicine Medicine & Public Health Melanosis Methods Oral and Maxillofacial Surgery Original Research Patients Physicians Plastic Surgery Quality of Life Research Skin China Deep learning Melasma Diagnosis Convolutional neural network Network performance
ISSN:	2193-8210, 2190-9172
Online Access:	Get full text
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