Jan 27, 2022 · U-Net3+ uses full-scale skip connections to combine high-level and low-level semantics from different scales to improve segmentation accuracy, ...
Jan 27, 2022 · Conclusion: The improved network has a significant improvement in the segmentation task of the brain tumor BraTS2018 dataset, compared with the ...
Oct 29, 2021 · Conclusion The improved network has a significant improvement in the segmentation task of the brain tumor BraTS2018 dataset, compared with the ...
Oct 29, 2021 · Based on the improved U-Net3+ two-dimensional (2D) model with stage residual, IResUnet3+ three-dimensional (3D) model is constructed. We explore ...
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Jan 17, 2022 · Conclusion The improved network has a significant improvement in the segmentation task of the brain tumor BraTS2018 dataset, compared with the ...
Jul 8, 2024 · We propose IC-Net (Inverted-C), a novel semantic segmentation architecture that combines elements from various models to provide effective and precise results.
This study suggested an improved U-Net architecture for segmenting brain tumours. Run a thorough ablation research to test: deep supervision loss, Focal loss, ...
Qin et al. proposed an improved U-Net3+ model. This model incorporates a stage residual structure into the encoder of the U-Net3+ architecture to minimize the ...
Improved U-Net3+ with stage residual for brain tumor segmentation. Chuanbo Qin, Yujie Wu, Wenbin Liao, Junying Zeng, Shufen Liang, Xiaozhi Zhang.
These advancements in U-Net-based architectures have demonstrated that well-designed U-Net networks can effectively perform tasks such as brain tumor. Page 15 ...