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

isic-challenge-2018 (9 files)
ISIC2018_Task1-2_Test_Input.zip 2.37GB
ISIC2018_Task1-2_Training_Input.zip 11.17GB
ISIC2018_Task1-2_Validation_Input.zip 239.23MB
ISIC2018_Task1_Training_GroundTruth.zip 27.40MB
ISIC2018_Task2_Training_GroundTruth_v3.zip 34.60MB
ISIC2018_Task3_Test_Input.zip 420.59MB
ISIC2018_Task3_Training_GroundTruth.zip 36.68kB
ISIC2018_Task3_Training_Input.zip 2.77GB
ISIC2018_Task3_Validation_Input.zip 53.29MB
Type: Dataset
Tags:

Bibtex:
@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superseded= {},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/}
}


Support
Academic Torrents!

Disable your
ad-blocker!

10 day statistics (3 downloads taking more than 30 seconds)

Average Time 29 minutes, 57 seconds
Average Speed 9.50MB/s
Best Time 15 minutes, 48 seconds
Best Speed 18.02MB/s
Worst Time 53 minutes, 53 seconds
Worst Speed 5.28MB/s
Report