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...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
KeAi Communications Co., Ltd.
2026-03-01
|
| سلاسل: | Informatics and Health |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2949953425000451 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|