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Potential of automated image analysis for the measurement of vitiligo lesions.

作者信息

Mazzetto Roberto, Sernicola Alvise, Tartaglia Jacopo, Ciolfi Christian, Alaibac Mauro

机构信息

Dermatology Unit, Department of Medicine (DIMED), University of Padua, Padova, Italy.

出版信息

Front Med (Lausanne). 2025 Aug 14;12:1623408. doi: 10.3389/fmed.2025.1623408. eCollection 2025.

DOI:10.3389/fmed.2025.1623408
PMID:40893879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390786/
Abstract
摘要

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Potential of automated image analysis for the measurement of vitiligo lesions.自动图像分析在白癜风皮损测量中的应用潜力。
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本文引用的文献

1
Exploring Vitiligo History and Mental Health Burden Among People Within EU5 Countries: Findings from the Global VALIANT Study.探索欧盟五国人群的白癜风病史及心理健康负担：全球VALIANT研究结果
Dermatol Ther (Heidelb). 2025 Jul 4. doi: 10.1007/s13555-025-01451-w.
2
Heterogeneity of anxiety in vitiligo: A systematic review and quantitative analysis with a focus on adolescents.白癜风患者焦虑情绪的异质性：一项系统评价与定量分析，重点关注青少年
J Psychosom Res. 2025 Aug;195:112182. doi: 10.1016/j.jpsychores.2025.112182. Epub 2025 Jun 7.
3
Canadian Consensus Guidelines for the Management of Vitiligo.加拿大白癜风管理共识指南
Dermatol Ther (Heidelb). 2025 Jun;15(6):1351-1369. doi: 10.1007/s13555-025-01402-5. Epub 2025 Apr 20.
4
Predictive analysis of vitiligo treatment drugs using degree and neighborhood degree-based topological descriptors.基于度和邻域度的拓扑描述符对白癜风治疗药物的预测分析。
Sci Rep. 2025 Feb 12;15(1):5218. doi: 10.1038/s41598-025-89603-y.
5
Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.通过机器学习和计算机辅助技术检测白癜风：一项系统综述。
Biomed Res Int. 2024 Dec 19;2024:3277546. doi: 10.1155/bmri/3277546. eCollection 2024.
6
Intelligent Diagnosis of Hypopigmented Dermatoses and Intelligent Evaluation of Vitiligo Severity on the Basis of Deep Learning.基于深度学习的色素减退性皮肤病智能诊断及白癜风严重程度智能评估
Dermatol Ther (Heidelb). 2024 Dec;14(12):3307-3320. doi: 10.1007/s13555-024-01296-9. Epub 2024 Nov 8.
7
AI fusion of multisource data identifies key features of vitiligo.人工智能融合多源数据鉴定白癜风的关键特征。
Sci Rep. 2024 Oct 16;14(1):24278. doi: 10.1038/s41598-024-75062-4.
8
A Review of the Vitiligo Literature to Standardize Expression of Disease Severity.一项综述白癜风文献旨在规范疾病严重程度的表述。
J Drugs Dermatol. 2024 Oct 1;23(10):842-846. doi: 10.36849/JDD.2024.8049.
9
Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases.人工智能：其在慢性炎症性和自身免疫性皮肤病中的应用概述
Life (Basel). 2024 Apr 16;14(4):516. doi: 10.3390/life14040516.
10
Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability.使用ResNet和Swin变压器深度学习模型优化白癜风诊断：性能与可解释性研究
Sci Rep. 2024 Apr 21;14(1):9127. doi: 10.1038/s41598-024-59436-2.