Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation
Due to the complex structure and small size of the hippocampus, precise segmentation of the hippocampus remains challenging. To address this issue, this study proposes a generative adversarial network (GAN) based on global and local feature information (GLGAN) for hippocampus segmentation. First, to...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2025-06-01
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| Series: | Chinese Journal of Magnetic Resonance |
| Subjects: | |
| Online Access: | http://121.43.60.238/bpxzz/article/2025/1000-4556/1000-4556-42-2-143.shtml |
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