Data Description¶
The challenge will be conducted on a dataset, acquired by a team of pathologists at the University Hospitals Coventry and Warwickshire, UK. Details of the dataset are as follows.
- Dataset: Warwick-QU
- Cancer Type: Colorectal cancer
- Number of Images: 165
- Resolution/Scanner: 20X (0.62005
/pixel) / Zeiss MIRAX MIDI
- Format: bmp
The composition of the dataset is as follows.
- Training: benign : 37, malignant : 48
- Test: benign : 37, malignant : 43
The ground truth for each image in the training dataset is stored in a BMP file, one ground truth object per label.
Data Usage
- The dataset used in this competition is provided for research purposes only. Commercial uses are not allowed.
- If you intend to publish research work that uses this dataset, you must cite our review paper to be published after the competition
K. Sirinukunwattana, J. P. W. Pluim, H. Chen, X Qi, P. Heng, Y. Guo, L. Wang, B. J. Matuszewski, E. Bruni, U. Sanchez, A. Böhm, O. Ronneberger, B. Ben Cheikh, D. Racoceanu, P. Kainz, M. Pfeiffer, M. Urschler, D. R. J. Snead, N. M. Rajpoot, "Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest", Medical Image Analysis. DOI: https://doi.org/10.1016/j.media.2016.08.008
@article{sirinukunwattana2017gland, title={Gland segmentation in colon histology images: The glas challenge contest}, author={Sirinukunwattana, Korsuk and Pluim, Josien PW and Chen, Hao and Qi, Xiaojuan and Heng, Pheng-Ann and Guo, Yun Bo and Wang, Li Yang and Matuszewski, Bogdan J and Bruni, Elia and Sanchez, Urko and others}, journal={Medical image analysis}, volume={35}, pages={489--502}, year={2017}, publisher={Elsevier} }
- AND the following paper, wherein the same dataset was first used:
K. Sirinukunwattana, D.R.J. Snead, N.M. Rajpoot, "A Stochastic Polygons
Model for Glandular Structures in Colon Histology Images," in IEEE
Transactions on Medical Imaging, 2015
DOI: 10.1109/TMI.2015.2433900
@article{sirinukunwattana2015stochastic, title={A stochastic polygons model for glandular structures in colon histology images}, author={Sirinukunwattana, Korsuk and Snead, David RJ and Rajpoot, Nasir M}, journal={IEEE transactions on medical imaging}, volume={34}, number={11}, pages={2366--2378}, year={2015}, publisher={IEEE} }