ISIC2018: Skin Lesion Analysis Towards Melanoma Detection
Noel Codella and Veronica Rotemberg and Philipp Tschandl and M. Emre Celebi and Stephen Dusza and David Gutman and Brian Helba and Aadi Kalloo and Konstantinos Liopyris and Michael Marchetti and Harald Kittler and Allan Halpern

@article{,
title= {ISIC2018: Skin Lesion Analysis Towards Melanoma Detection},
keywords= {},
author= {Noel Codella and Veronica Rotemberg and Philipp Tschandl and M. Emre Celebi and Stephen Dusza and David Gutman and Brian Helba and Aadi Kalloo and Konstantinos Liopyris and Michael Marchetti and Harald Kittler and Allan Halpern},
abstract= {This challenge is broken into three separate tasks:

- Task 1: Lesion Segmentation  
- Task 2: Lesion Attribute Detection
- Task 3: Disease Classification

https://i.imgur.com/daTTwFV.png

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; https://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).},
terms= {},
license= {Creative Commons Attribution-NonCommercial 4.0 International Public
License},
superseded= {},
url= {https://challenge2018.isic-archive.com/}
}