Open access
Jan 2024
Augmented Transformer network for MRI brain tumor segmentation
The Augmented Transformer U-Net is proposed to address limitations in existing transformer-related U-Net models for brain tumor segmentation, and achieves Dice values of 89.7%/89.8%, 78.2%/78.6%, and 80.4%/81.9% for whole tumor (WT) and tumor core (TC) segmentation on the BraTS2019-2020 validation datasets, respectivel...
Mu-Qing Zhang, Dong-Wei Liu, Qiule Sun et al.
· Journal of King Saud Univers... · 40 citations
· ⚡2