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...
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Frontiers Media S.A.
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/41f565c7ad4b436b98ef650d7c372b72 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|