jslecointre / brats2019_sys866

Project to benchmark GBM/HGG LGG tumors

BraTS2019_SYS866

Project to benchmark GBM/HGG LGG tumors and generate easily niftynet config files

Models benchmarked are the following :

1/ HighRes3DNet :

enqi Li, Guotai Wang, Lucas Fidon, Sebastien Ourselin, M. Jorge Cardoso, Tom Vercauteren On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task (2017)

2/ Scalenet :

Fidon, L., Li, W., Garcia-Peraza-Herrera, L. C., Ekanayake, J., Kitchen, N., Ourselin, S., et al. Scalable multimodal convolutional networks for brain tumour segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (2017)

3/ Cascaded Anisotropic CNNs :

Guotai Wang, Wenqi Li, Sebastien Ourselin, and Tom Vercauteren Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks