Pseudo-Label Assisted nnU-Net enables automatic segmentation of 7T MRI from a single acquisition

Pseudo-Label Assisted nnU-Net enables automatic segmentation of 7T MRI from a single acquisition

IntroductionAutomatic whole brain and lesion segmentation at 7T presents challenges, primarily from bias fields, susceptibility artifacts including distortions, and registration errors. Here, we sought to use deep learning algorithms (D/L) to do both skull stripping and whole brain segmentation on m...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Corinne Donnay, Henry Dieckhaus, Charidimos Tsagkas, María Inés Gaitán, Erin S. Beck, Andrew Mullins, Daniel S. Reich, Govind Nair
Format: Artykuł
Język:English
Wydane: Frontiers Media S.A. 2023-12-01
Seria:Frontiers in Neuroimaging
Hasła przedmiotowe:
brain and lesion segmentation
7T MRI
deep learning
transfer learning
multiple sclerosis
Dostęp online:https://www.frontiersin.org/articles/10.3389/fnimg.2023.1252261/full

Internet

https://www.frontiersin.org/articles/10.3389/fnimg.2023.1252261/full

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