Improving across-dataset brain tissue segmentation for MRI imaging using transformer

Brain tissue segmentation has demonstrated great utility in quantifying MRI data by serving as a precursor to further post-processing analysis. However, manual segmentation is highly labor-intensive, and automated approaches, including convolutional neural networks (CNNs), have struggled to generali...

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Detalles Bibliográficos
Autores principales: Rao, Vishwanatha M., Wan, Zihan, Arabshahi, Soroush, Ma, David J., Lee, Pin-Yu, Tian, Ye, Zhang, Xuzhe, Laine, Andrew F., Guo, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406272/
https://www.ncbi.nlm.nih.gov/pubmed/37555170
http://dx.doi.org/10.3389/fnimg.2022.1023481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406272/
https://www.ncbi.nlm.nih.gov/pubmed/37555170
http://dx.doi.org/10.3389/fnimg.2022.1023481

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