[MICCAI2019]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images

时间 2020-12-23

标签多模分割 MICCAI2019 栏目图片处理繁體版

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MICCAI2019 多模分割相关论文笔记 Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images 本文设计了Shape MAE（Multi-View Auto Encoder）结构来学习多视角下心脏形状的隐式表达；以及设计了分割网络 Multi-View Unet，能够结合MAE学习到的解剖形

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1. Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network.
2. Segmentation简记-Joint shape learning and segmentation for medical images
3. Biomedical images dataset findings（3 cardiac page）
4. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation文章解读
5. 文章阅读：GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
6. 论文阅读笔记（四十九）：3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Pr..
7. Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
8. indoor segmentation and support inference from rgbd images
9. Robust semantic segmentation by dense fusion network on blurred vhr remote sensing images
10. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
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1. Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network.
2. Segmentation简记-Joint shape learning and segmentation for medical images
3. Biomedical images dataset findings（3 cardiac page）
4. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation文章解读
5. 文章阅读：GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
6. 论文阅读笔记（四十九）：3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Pr..
7. Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
8. indoor segmentation and support inference from rgbd images
9. Robust semantic segmentation by dense fusion network on blurred vhr remote sensing images
10. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

>>更多相关文章<<