【論文筆記】Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
本文是關於論文 Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks 的筆記。 個人覺得本文主要有兩個創新點，一個是 ground-truth 的獲取方式，是通過對 moving image 變形來得到 fixed image 的；另一個是網絡的結構採用了多尺度的輸入，並且沒有把兩個不同大小的圖
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相關文章
- 1. Weakly-supervised convolutional neural networks for multimodal image registration
- 2. 《image Style Transfer Using Convolutional Neural Networks》論文筆記
- 3. Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
- 4. NON-RIGID IMAGE REGISTRATION USING SELF-SUPERVISED FULLY CONVOLUTIONAL NETWORKS
- 5. 論文閱讀筆記（五十六）：Image Super-Resolution Using Deep Convolutional Networks
- 6. 論文筆記：RGB-D Object Recognition Using Deep Convolutional Neural Networks
- 7. 論文筆記——Factorized Convolutional Neural Networks
- 8. 【論文筆記】DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
- 9. Diffusion-Convolutional Neural Networks論文筆記
- 10. 論文閱讀筆記之——《Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks》