MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities

Chengjian Qiu, Yuqing Song, Yi Liu, Yan Zhu, Kai Han, Victor S. Sheng, Zhe Liu

Abstract: Highlights•Global multiscale features are implicitly extracted with limited computational cost.•Correlations across modalities are first used to decouple the segmentation pipeline.•Our method achieves the current state-of-the-art segmentation accuracy.