Automated identification of MRI series using a hierarchical modular machine-learning pipeline
Abstract Objective The volume and diversity of large MR imaging datasets require efficient automated labelling tools for cataloguing MR series, as manual annotation is impractical and costly. However, relying on DICOM header fields alone is unreliable because sequence descriptors are heterogeneous a...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2026-05-01
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| Colecção: | European Radiology Experimental |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s41747-026-00740-z |
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