QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3395058
Abstract: With reliable performance, and linear time complexity, Vision Transformers like the Swin Transformer are gaining popularity in the field of Medical Image Computing (MIC). Examples of effective volumetric segmentation models for brain tumours include VT-UNet,… read more here.
Keywords: self supervised; segmentation; unet self; supervised self ... See more keywords