Back to collections
Public· Roger Noble
ISIC 2018 Challenge
Images
—
Size
—
Visibility
Public
Views
9
This collection contains the training data for Tasks 1 and 2 of the 2018 International Skin Imaging Collaboration (ISIC) Challenge, one of the most influential public benchmarks in medical computer vision. The challenge invited researchers worldwide to develop algorithms that could not only classify skin lesions, but also segment them precisely and identify the dermoscopic features clinicians look for when assessing risk.
Source
License CC-0
[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).
Contact sheet
Preview
Preview sampled from the hero. Full browsing lives in the viewer.