Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification 2019 (CPM-RadPath): Registration

• Motivation • Data • Participation Summary • Registration • People •

Challenge Registration & Data Request

You can register for the challenge, request the CPM-RadPath data, and evaluate your methods through the following link: http://miccai2019.eastus.cloudapp.azure.com/

 

Data Usage Agreement / Citations

You are free to use and/or refer to the CPM-RadPath datasets in your own research, provided that you always cite the following manuscript:

T. Kurc, S. Bakas, X. Ren, A. Bagari, A. Momeni, Y. Huang, L. Zhang, A. Kumar, M. Thibault, Q. Qi, Q. Wang, A. Kori, O. Gevaert, Y. Zhang, D. Shen, M. Khened, X. Ding, G. Krishnamurthi, J. Kalpathy-Cramer, J. Davis, T. Zhao, R. Gupta, J. Saltz, K. Farahani. "Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches". Frontiers in neuroscience, p.27, 2020.

 

CPM-RadPath 2019 runs in conjunction with the MICCAI 2019 conference, on Oct.17, as part of the full-day BrainLes Workshop.

Feel free to send any communication related to the CPM-RadPath challenge to cpm2019@cbica.upenn.edu