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Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals
SIMPLE SUMMARY: Radiogenomics enables prediction of the status and prognosis of patients using non-invasively obtained imaging data. Current machine learning (ML) methods used in radiogenomics require huge datasets, which involve the handling of large heterogeneous datasets from multiple cohorts/hos...
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| Udgivet i: | Cancers (Basel) |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8306149/ https://ncbi.nlm.nih.gov/pubmed/34298824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13143611 |
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