Cargando…
Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images
Liver segmentation is an essential procedure in computer-assisted surgery, radiotherapy, and volume measurement. It is still a challenging task to extract liver tissue from 3D CT images owing to nearby organs with similar intensities. In this paper, an automatic approach integrating multi-dimensiona...
Autores principales: | Lu, Xuesong, Xie, Qinlan, Zha, Yunfei, Wang, Defeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048104/ https://www.ncbi.nlm.nih.gov/pubmed/30013150 http://dx.doi.org/10.1038/s41598-018-28787-y |
Ejemplares similares
-
Nonrigid registration with corresponding points constraint for automatic segmentation of cardiac DSCT images
por: Lu, Xuesong, et al.
Publicado: (2017) -
Assessment of fully automatic segmentation of pulmonary artery and aorta on noncontrast CT with optimal surface graph cuts
por: Sedghi Gamechi, Zahra, et al.
Publicado: (2021) -
Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels
por: Ye, Xujiong, et al.
Publicado: (2010) -
Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images
por: Zha, Yunfei, et al.
Publicado: (2015) -
Fully Automatic Segmentation and Three-Dimensional Reconstruction of the Liver in CT Images
por: Wang, ZhenZhou, et al.
Publicado: (2018)