Deep learning-Based 3D inpainting of brain MR images
Abstract The detailed anatomical information of the brain provided by 3D magnetic resonance imaging (MRI) enables various neuroscience research. However, due to the long scan time for 3D MR images, 2D images are mainly obtained in clinical environments. The purpose of this study is to generate 3D im...
Guardado en:
Autores principales: | Seung Kwan Kang, Seong A. Shin, Seongho Seo, Min Soo Byun, Dong Young Lee, Yu Kyeong Kim, Dong Soo Lee, Jae Sung Lee |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2cac775e7c1542be83993fd6fdf9ab8c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Privacy-preserving inpainting for outsourced image
por: Fang Cao, et al.
Publicado: (2021) -
Artist-Net: Decorating the Inferred Content With Unified Style for Image Inpainting
por: Liang Liao, et al.
Publicado: (2019) -
Whole-brain functional networks in cognitively normal, mild cognitive impairment, and Alzheimer's disease.
por: Eun Hyun Seo, et al.
Publicado: (2013) -
Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping
por: Wonseok Whi, et al.
Publicado: (2021) -
Serum zinc levels and in vivo beta-amyloid deposition in the human brain
por: Jee Wook Kim, et al.
Publicado: (2021)