AI‐assisted diagnosis of basal cell carcinoma via line‐field confocal OCT: Insights and limitations

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Publication Details

Journal
Journal of the European Academy of Dermatology and Venereology
Published
2025-12-23
DOI
https://doi.org/10.1111/jdv.70276
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
1.05
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OCT
article

AI‐assisted diagnosis of basal cell carcinoma via line‐field confocal OCT: Insights and limitations

Yuan‐Ti Lee, Bi Da Gao
1 citations
Journal of the European Academy of Dermatology and Venereology
Cutaneous Melanoma Detection and Management
1.05
article

AI‐assisted diagnosis of basal cell carcinoma via line‐field confocal OCT: Insights and limitations

Yuan‐Ti Lee, Bi Da Gao
article en
1 citations

Abstract

No abstract available for this paper.
Journal of the European Academy of Dermatology and Venereology
Chung Shan Medical University Hospital (TW), Chung Shan Medical University (TW)
Openalex Percentile: Top 15%
Cutaneous Melanoma Detection and Management
1.05
DOISourceOpenAlex
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AI‐assisted diagnosis of basal cell carcinoma via line‐field confocal OCT: Insights and limitations — Yuan‐Ti Lee, Bi Da Gao · Journal of the European Academy of Dermatology and Venereology (2025) | TGRS Research Map | TGRS