3D圖像分割：Thickened 2D Networks for 3D Medical Image Segmentation
Thickened 2D Networks for 3D Medical Image Segmentation https://arxiv.org/pdf/1904.01150.pdf 本文研究的是血管分割（blood vessels），使用的是3D CT圖像。將深度學習用於3D image segmentation，具體到醫學圖像分割中是三維空間的二分類問題。即確定3D voxel體素是屬於
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相關文章
- 1. CE-Net: Context encoder network for 2D medical image segmentation
- 2. Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
- 3. AutoML論文筆記（十三）Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segment
- 4. [論文翻譯]V-Net:Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 5. 【論文】醫學影像 | Elastic Boundary Projection for 3D Medical Image Segmentation 論文匯報 (CVPR 2019)
- 6. 醫學圖像分割--U-Net: Convolutional Networks for Biomedical Image Segmentation
- 7. 圖像分割 Image Segmentation
- 8. interactive image segmentation 交互式圖像分割
- 9. 醫學圖像分割--Segmentation of Medical Ultrasound Images Using Convolutional Neural Networks
- 10. 醫學圖像分割--Topology Aware Fully Convolutional Networks For Histology Gland Segmentation