Fig. 2. Base network architectures (left) and loss functions (right) used by the participants of the 2018 Decathlon challenge who provided full algorithmic information (n = 14 teams).

Network architectures: DeepMedic—Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation⁴⁵, QuickNAT—Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy⁴⁴, ResNet—Deep Residual Learning for Image Recognition¹⁵, U-Net—Convolutional Networks for Biomedical Image Segmentation¹¹, V-Net—Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation⁴³. DSC Dice Similarity Coefficient.