Cargando…
Dlung: Unsupervised Few-Shot Diffeomorphic Respiratory Motion Modeling
Lung image registration plays an important role in lung analysis applications, such as respiratory motion modeling. Unsupervised learning-based image registration methods that can compute the deformation without the requirement of supervision attract much attention. However, it is noteworthy that th...
Autores principales: | Chen, Peizhi, Guo, Yifan, Wang, Dahan, Chen, Chinling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Jiaotong University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660014/ https://www.ncbi.nlm.nih.gov/pubmed/36406811 http://dx.doi.org/10.1007/s12204-022-2525-3 |
Ejemplares similares
-
Unsupervised Few-Shot Feature Learning via Self-Supervised Training
por: Ji, Zilong, et al.
Publicado: (2020) -
What’s in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification
por: Mar, Jaron, et al.
Publicado: (2020) -
FewJoint: few-shot learning for joint dialogue understanding
por: Hou, Yutai, et al.
Publicado: (2022) -
Shapes and diffeomorphisms
por: Younes, Laurent
Publicado: (2019) -
Shapes and Diffeomorphisms
por: Younes, Laurent
Publicado: (2010)