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Prediction of glioma-subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors
BACKGROUND: For brain tumors, identifying the molecular subtypes from magnetic resonance imaging (MRI) is desirable, but remains a challenging task. Recent machine learning and deep learning (DL) approaches may help the classification/prediction of tumor subtypes through MRIs. However, most of these...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118766/ https://www.ncbi.nlm.nih.gov/pubmed/35590389 http://dx.doi.org/10.1186/s42490-022-00061-3 |