Segmentation of Cerebrospinal Fluid from 3D CT Brain Scans Using Modified Fuzzy C-Means Based on Super-Voxels
Saved in:
| Main Authors: | Abdelkhalek Bakkari, Anna Fabijańska |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Information Processing Society
2015-10-01
|
| Series: | Annals of computer science and information systems |
| Online Access: | https://annals-csis.org/Volume_5/pliks/154.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MA-VoxelMorph: Multi-scale attention-based VoxelMorph for nonrigid registration of thoracoabdominal CT images
by: Qing Huang, et al.
Published: (2025-01-01) -
Automated segmentation of medical images for 3D printing – voxel centric processing of spatially textured voxels
by: Norman Cushing, et al.
Published: (2025-12-01) -
Impact of voxel size on microCT morphometric analysis of the pumpkin toadlet
by: Caio Sorrentino dos Santos, et al.
Published: (2021-04-01) -
Cerebrospinal fluid oligoclonal IgG bands in multiple sclerosis: what does it mean?
by: Marzia Puccioni-Sohler
Published: (2012-08-01) -
Fat droplets in the cerebrospinal fluid (CSF) spaces of the brain
by: Mark Reed, et al.
Published: (2024-11-01)