Asymmetric encoder-decoder U-net with hybrid attention and residual dilated convolution for brain tumor segmentation
The accurate and automatic segmentation of brain tumors from magnetic resonance imaging is regarded as essential for clinical diagnosis and surgical planning. Nevertheless, the concurrent extraction of both local fine details and global contextual cues remains challenging, primarily due to ambiguous tumor margins a...