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Convolutional neural networks for automatic image quality control and EARL compliance of PET images
BACKGROUND: Machine learning studies require a large number of images often obtained on different PET scanners. When merging these images, the use of harmonized images following EARL-standards is essential. However, when including retrospective images, EARL accreditation might not have been in place...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363539/ https://www.ncbi.nlm.nih.gov/pubmed/35943622 http://dx.doi.org/10.1186/s40658-022-00468-w |