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Are deep models in radiomics performing better than generic models? A systematic review
BACKGROUND: Application of radiomics proceeds by extracting and analysing imaging features based on generic morphological, textural, and statistical features defined by formulas. Recently, deep learning methods were applied. It is unclear whether deep models (DMs) can outperform generic models (GMs)...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Vienna
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014394/ https://www.ncbi.nlm.nih.gov/pubmed/36918479 http://dx.doi.org/10.1186/s41747-023-00325-0 |