論文閱讀——Non-local U-Nets for Biomedical Image Segmentation
論文閱讀之非局部UNet模型用於醫學圖像分割 Non-local U-Nets for Biomedical Image Segmentation fromAAAI 2020 Code 摘要： UNet的編解碼結構廣泛用於醫學圖像分各領域，通過堆疊局部運算完成信息的長程傳遞，但限制了效率的進一步提升。本文提出的非局部UNet新加入了一個全局聚合模塊（global aggregation block
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相關文章
- 1. 論文閱讀筆記U-net：Convolutional Networks for Biomedical Image Segmentation
- 2. 《U-Net: Convolutional Networks for Biomedical Image Segmentation》論文閱讀
- 3. [論文閱讀筆記]U-Net: Convolutional Networks for Biomedical Image Segmentation
- 4. 閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
- 5. 『 論文閱讀』U-Net Convolutional Networks for Biomedical Image Segmentation
- 6. 論文解讀：Adaptive Nonlocal Random Walks for Image Superpixel Segmentation
- 7. 【論文學習】Non-local U-Nets for Biomedical Image Segmentation
- 8. U-Net: Convolutional Networks for Biomedical Image Segmentation------2015CVPR UNet論文解讀
- 9. 論文精讀及分析：U-Net: Convolutional Networks for Biomedical Image Segmentation
- 10. 論文閱讀筆記（四十一）：U-Net: Convolutional Networks for Biomedical Image Segmentation