Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net-Reference-Cited by-同舟云学术

Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
language:
Short-container-title:

Author:

Payer Christian¹,Štern Darko¹,Bischof Horst²,Urschler Martin³

Affiliation:

1. Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, --- Select a Country ---

2. Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, --- Select a Country ---

3. Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria, School of Computer Science, The University of Auckland, Auckland, New Zealand, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 64 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spinal MRI image segmentation based on improved U-Net;Signal, Image and Video Processing;2024-09-10

2. Deep learning-based quantification of osteonecrosis using magnetic resonance images in Gaucher disease;Bone;2024-09

3. 2MF-Net: 3D Cardiac Keypoint Detection with Multi-scale and Multi-dimension Feature Fusion Net;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Improving Vertebrae Segmentation Using a Centroid Detection-Guided Transformer-Based Network;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Shape completion in the dark: completing vertebrae morphology from 3D ultrasound;International Journal of Computer Assisted Radiology and Surgery;2024-05-15