Skip to content

Latest commit

 

History

History
94 lines (67 loc) · 3.32 KB

ISIC2017.md

File metadata and controls

94 lines (67 loc) · 3.32 KB

ISIC 2017

Dataset Information

The ISIC 2017 dataset, released by the International Skin Imaging Collaboration (ISIC), is a large-scale dermoscopy image dataset. It comprises 2000 training images, 150 validation images, and 600 test images, each accompanied by corresponding ground truth data. The aim of this dataset is to assist participants in developing image analysis tools capable of diagnosing melanoma automatically from dermoscopy images.

Dataset Meta Information

Dimensions Modality Task Type Anatomical Structures Anatomical Area Number of Categories Data Volume File Format
2D dermoscopic Segmentation Skin Melanoma 1 2000 for train, 150 for validation, 600 for test PNG, JPG

Resolution Details

Dataset Statistics size
min (540, 576)
median (2000, 3008)
max (4499, 6748)

Label Information Statistics

Category Retinal Vessel
Number of Images 2000
Availability 100%
Small Vessel Count 9,132
Medium Vessel Count 341,472
Large Vessel Count 22,013,098

Visualization

ITK-SNAP Visualization.

File Structure

ISIC2017 Dataset
|
|-- Images Folder
|   |-- image1.jpg
|   |-- image2.jpg
|   |-- ...
|
|-- Masks Folder
|   |-- mask1_segmentation.png
|   |-- mask2_segmentation.png
|   |-- ...
|

Authors and Institutions

Noel C. F. Codella (IBM T. J. Watson Research Center, Yorktown Heights, NY, USA)

David Gutman (Emory University, Atlanta, GA, USA)

M. Emre Celebi (University of Central Arkansas, Conway, AR, USA)

Source Information

Official Website: https://challenge.isic-archive.com/data/#2017

Download Link: https://challenge.isic-archive.com/data/#2017

Article Address: https://ieeexplore.ieee.org/document/8363547

Publication Date: 2017

Citation

@INPROCEEDINGS{8363547,
  author={Codella, Noel C. F. and Gutman, David and Celebi, M. Emre and Helba, Brian and Marchetti, Michael A. and Dusza, Stephen W. and Kalloo, Aadi and Liopyris, Konstantinos and Mishra, Nabin and Kittler, Harald and Halpern, Allan},
  booktitle={2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)}, 
  title={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)}, 
  year={2018},
  volume={},
  number={},
  pages={168-172},
  doi={10.1109/ISBI.2018.8363547}}

Original introduction article is here.