Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI
Glioma survival risk prediction is of great significance for the individualized treatment and assessment programs. Currently, most deep learning based survival prediction paradigms rely on invasive and expensive histopathology and genomics methods. However, magnetic resonance imaging (MRI) has emerg...
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| Main Authors: | Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-04-01
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| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020083 |
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