AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
Radiomic models outperform clinical data for outcome prediction in high-grade gliomas (HGG). However, lack of parameter standardization limits clinical applications. Many machine learning (ML) radiomic models employ single classifiers rather than ensemble learning, which is known to boost performanc...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Frontiers Media S.A.
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/41f565c7ad4b436b98ef650d7c372b72 |
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