Dataset description: BCN20000

Dear participants,

We are happy to announce that we have uploaded a brief description of the BCN20000 dataset to Arxiv, where we describe the origin and nature of the images included in it.

This dataset is part of the data provided in the ISIC Challenge 2019, which also contains data from the HAM10000 dataset and the MSK Dataset.

Be sure to cite the datasets in the description of your manuscripts:

  • Tschandl P., Rosendahl C. & Kittler H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi.10.1038/sdata.2018.161 (2018)

  • Noel C. F. Codella, David Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin Mishra, Harald Kittler, Allan Halpern: “Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)”, 2017; arXiv:1710.05006.

  • Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Veronica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy: “BCN20000: Dermoscopic Lesions in the Wild”, 2019; arXiv:1908.02288.


Marc Combalia


Dear organizer,

The link for BCN20000 paper is not reachable.


Looks like arXiv is having technical problems. It should resolve itself.