Deep learning for the harmonization of structural MRI scans: a survey
Abstract Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources. Image harmonization is a critical step to mitigate the effects...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2024-08-01
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| Serie: | BioMedical Engineering OnLine |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12938-024-01280-6 |
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