论文阅读——R2U-Net:Recurrent Residual Convolutional Neural Network based on U-Net for Medical Image
论文阅读之R2U-Net:Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation R2U-Net Abstract 深度学习近年来在图像识别、分割及物体检测等领域取得了优异的成果。UNet就是其中一种广受好评的框架。本文则提出了基于UNet架构的循
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相关文章
- 1. 论文：Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmen
- 2. 医学分割论文:Recurrent Residual Convolutional Neural Network based on U-Net for Medical Image Segmentation
- 3. 论文阅读——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION
- 4. 论文阅读笔记（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 5. Residual Attention Network for Image Classification 论文阅读
- 6. 论文阅读《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
- 7. Video retrieval based on deep convolutional neural network 论文阅读
- 8. [论文翻译]V-Net:Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 9. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 10. 《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》论文翻译