TY - CONF
T1 - MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"
AU - Bakas, Spyridon
AU - Menze, Bjoern
AU - Davatzikos, Christos
AU - Kalpathy-Cramer, Jayashree
AU - Farahani, Keyvan
AU - Bilello, Michel
AU - Mohan, Suyash
AU - Freymann, John B.
AU - Kirby, Justin S.
AU - Ahluwalia, Manmeet
AU - Statsevych, Volodymyr
AU - Huang, Raymond
AU - Fathallah-Shaykh, Hassan
AU - Wiest, Roland
AU - Jakab, Andras
AU - Colen, Rivka R.
AU - Kotrotsou, Aikaterini
AU - Marcus, Daniel
AU - Milchenko, Mikhail
AU - Nazeri, Arash
AU - Weber, Marc-Andre
AU - Mahajan, Abhishek
AU - Baid, Ujjwal
N1 - This is the challenge design document for the "MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: 'Prediction of Survival and Pseudoprogression' ", accepted for MICCAI 2020. BraTS 2020 utilizes multi-institutional MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas.
PY - 2020/3/20
Y1 - 2020/3/20
UR - https://zenodo.org/record/3718904
U2 - 10.5281/ZENODO.3718904
DO - 10.5281/ZENODO.3718904
M3 - Presentation
T2 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention
Y2 - 20 March 2020
ER -