論文閱讀——R2U-Net:Recurrent Residual Convolutional Neural Network based on U-Net for Medical Image
論文閱讀之R2U-Net:Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation R2U-Net Abstract 深度學習近年來在圖像識別、分割及物體檢測等領域取得了優異的成果。UNet就是其中一種廣受好評的框架。本文則提出了基於UNet架構的循
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相關文章
- 1. 論文：Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmen
- 2. 醫學分割論文:Recurrent Residual Convolutional Neural Network based on U-Net for Medical Image Segmentation
- 3. 論文閱讀——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION
- 4. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 5. Residual Attention Network for Image Classification 論文閱讀
- 6. 論文閱讀《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
- 7. Video retrieval based on deep convolutional neural network 論文閱讀
- 8. [論文翻譯]V-Net:Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 9. 論文閱讀《Edge Detection Using Convolutional Neural Network》
- 10. 《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》論文翻譯