Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.
Automated quantification of data acquired as part of an MRI exam requires identification of the specific acquisition of relevance to a particular analysis. This motivates the development of methods capable of reliably classifying MRI acquisitions according to their nominal contrast type, e.g., T1 we...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 1; pp. 289 - 306 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |