Glioma survival prediction and risk stratification system based on EA-UNet segmentation and multi-modal feature extraction
Background:: Gliomas are aggressive central nervous system tumors with high heterogeneity. Conventional survival prediction models often fail to capture correlations among multi-lesion components (“tumor-edema-necrosis”) and lack deep multimodal fusion, limiting prognostic accuracy. This study propo...
Furkejuvvon:
| Váldodahkkit: | , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
KeAi Communications Co., Ltd.
2026-03-01
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| Ráidu: | Informatics and Health |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S2949953425000451 |
| Fáddágilkorat: |
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