Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images

Author:

Wimmer MariaORCID,Major David,Novikov Alexey A.ORCID,Bühler KatjaORCID

Funder

Forschungsförderungsgesellschaft

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Cited by 12 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. HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. An effective U-Net and BiSeNet complementary network for spine segmentation;Biomedical Signal Processing and Control;2024-03

3. UNet-based MRI spinal vertebral body center extraction;Proceedings of the 2024 7th International Conference on Image and Graphics Processing;2024-01-19

4. The promise and limitations of artificial intelligence in musculoskeletal imaging;Frontiers in Radiology;2023-08-07

5. A Modified BiSeNet for Spinal Segmentation;Intelligent Robotics and Applications;2023

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