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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306149/ https://www.ncbi.nlm.nih.gov/pubmed/34298824 http://dx.doi.org/10.3390/cancers13143611 |