Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier.
Accurate, automated MRI series identification is important for many applications, including display ("hanging") protocols, machine learning, and radiomics. The use of the series description or a pixel-based classifier each has limitations. We demonstrate a combined approach utilizing a DICOM metadat...
| Publicado en: | Abdominal Radiology Vol. 49; no. 10; pp. 3735 - 3747 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |