Multimodal Glioma Segmentation with Fusion of Multiple Self-attention and Deformable Convolutions
The magnetic resonance image segmentation of glioma is significant in disease diagnosis, surgical planning, and determination of treatment plans such as radiotherapy. In response to the problem of low segmentation accuracy, inaccurate edge segmentation, and prone to false positives in existing brain...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2023-09-01
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| Series: | Chinese Journal of Magnetic Resonance |
| Subjects: | |
| Online Access: | http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-3-280.shtml |