Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks.
Marcel BeetzPublished in: SKILL (2018)
Keyphrases
- convolutional neural networks
- intravascular ultrasound
- lesion segmentation
- fully automatic
- features extraction
- level set
- multiscale
- quantitative evaluation
- cross sectional
- image segmentation
- carotid artery
- reliable detection
- object detection
- semi automatic
- image analysis
- quantitative measurements
- shape prior
- ground truth
- risk factors
- convolutional network
- temporal segmentation
- shear stress
- coronary artery
- complex background
- object segmentation
- fully automated
- segmentation method
- detection algorithm
- edge detection
- patient specific
- bounding box
- text lines
- radio frequency
- region growing
- background subtraction
- deformable models
- energy function
- graph cuts