ISIC Archive

Challenge 2018: Task 1-2: Test

Name: Challenge 2018: Task 1-2: Test
Number of images: 1,000
Number of specified lesions: 86
Number of specified patients: 711
Attribution: View

Description:

Test set from the ISIC 2018 Challenge. The lesion images come from the HAM10000 Dataset, and were acquired with a variety of dermatoscope types, from all anatomic sites (excluding mucosa and nails), from a historical sample of patients presented for skin cancer screening, from several different institutions. Images were collected with approval of the Ethics Review Committee of University of Queensland (Protocol-No. 2017001223) and Medical University of Vienna (Protocol-No. 1804/2017).

The distribution of disease states represent a modified "real world" setting whereby there are more benign lesions than malignant lesions, but an over-representation of malignancies.

When using the ISIC 2018 datasets in your research, please cite the following works:

[1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)", 2018; arxiv.org/abs/1902.03368

[2] 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).