- Name: ISIC-DICM-17K
- DOI: https://doi.org/10.34970/233480
- Number of images: 17,060
- Number of specified lesions: 9,188
- Number of specified patients: 3,810
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Attribution:
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ISIC-DICM-17K (ISIC Dermoscopic Images and Clinical Metadata 17K) is a curated and balanced dataset derived from the International Skin Imaging Collaboration (ISIC) Archive Gallery. It comprises 17,060 dermoscopic images and clinical metadata (8,530 melanoma and 8,530 non-melanoma classes).
For more details, please follow the project’s GitHub repository: https://github.com/mmu-dermatology-research/isic-dicm-17k
This dataset was used in this study and benchmark to explore the effectiveness of multimodal learning for skin lesion classification:
S. Ahammed, X. Cui, W. Lu and M. H. Yap, "Skin Lesion Classification using Dermoscopic Images and Clinical Metadata: Insights from Multimodal Models," 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA, 2025, pp. 222-230, DOI: 10.1109/CVPRW67362.2025.00027
