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...

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Bibliographic Details
Main Authors: Corinne Donnay, Henry Dieckhaus, Charidimos Tsagkas, María Inés Gaitán, Erin S. Beck, Andrew Mullins, Daniel S. Reich, Govind Nair
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Neuroimaging
Subjects:
brain and lesion segmentation
7T MRI
deep learning
transfer learning
multiple sclerosis
Online Access: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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