Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images.
Junjie WangYuanyuan YuRongyao YanJie LiuHao WuDaoying GengZekuan YuPublished in: Int. J. Comput. Assist. Radiol. Surg. (2021)
Keyphrases
- coarse to fine
- fully automatic
- image pyramid
- image registration
- multiscale
- segmentation method
- segmentation algorithm
- hierarchical segmentation
- multiresolution
- image analysis
- hierarchical representation
- edge detection
- unsupervised segmentation
- image database
- deformable surface model
- input image
- carotid artery
- accurate segmentation
- matching scheme
- ground truth
- feature correspondences
- image data
- segmented images
- computed tomography angiography
- active shape model
- magnetic resonance angiography
- pixel level
- automated segmentation
- microscopy images
- optical flow estimation
- image segments
- object detection
- dense correspondence
- shape prior
- dynamic programming
- object recognition
- image segmentation algorithms
- image retrieval
- object segmentation
- image processing
- region growing
- level set
- deformable contour
- unsupervised image segmentation
- medical images
- multi class
- image segmentation