2D–3D cascade network for glioma segmentation in multisequence MRI images using multiscale information

•A 2D–3D cascade network with multi-scale information is proposed for glioma segmentation.•A multi-task learning-based 2D network is applied to exploit intra-slice features.•A 3D DenseUNet is integrated with the 2D network to extract inter-slice features.•A multi-scale information module is used in 2D and 3D networks to capture glioma details.•Competitive performance is achieved on public available and clinical datasets.