Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network.
Hulin KuangBijoy K. MenonWu QiuPublished in: MICCAI (3) (2019)
Keyphrases
- ischemic stroke
- ct scans
- automated segmentation
- multipath
- multiple paths
- computed tomography
- x ray
- ct images
- fracture detection
- health care
- computer tomography
- abdominal organs
- medical images
- organ segmentation
- medical imaging
- computer aided detection
- wireless ad hoc networks
- ct data
- image segmentation
- end to end
- clinical studies
- computer aided
- peer to peer
- multi path routing
- computed tomography images
- routing algorithm
- region of interest
- computer aided diagnosis
- treatment planning
- computer vision
- network traffic
- segmentation algorithm
- mobile ad hoc networks
- motion estimation
- x ray images
- automatic segmentation
- wireless sensor networks
- decision support system
- ct imaging
- mr images
- clinical applications