A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRI

Most data-driven methods are very susceptible to data variability. This problem is particularly apparent when applying Deep Learning (DL) to brain Magnetic Resonance Imaging (MRI), where intensities and contrasts vary due to acquisition protocol, scanner- and center-specific factors. Most publicly a...

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Detalles Bibliográficos
Autores principales: Meyer, Maria Ines, de la Rosa, Ezequiel, Pedrosa de Barros, Nuno, Paolella, Roberto, Van Leemput, Koen, Sima, Diana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439197/
https://www.ncbi.nlm.nih.gov/pubmed/34531715
http://dx.doi.org/10.3389/fnins.2021.708196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439197/
https://www.ncbi.nlm.nih.gov/pubmed/34531715
http://dx.doi.org/10.3389/fnins.2021.708196

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