CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging.
Luca TomasettiKjersti EnganMahdieh KhanmohammadiKathinka Dæhli KurzPublished in: BCB (2020)
Keyphrases
- computed tomography
- medical imaging
- medical images
- contrast enhanced
- ischemic stroke
- coronary artery disease
- ct images
- radiation doses
- motion artifacts
- image segmentation
- ct imaging
- ct scans
- image analysis
- x ray
- region of interest
- mr imaging
- imaging modalities
- cardiac ct
- magnetic resonance imaging
- brain imaging
- image processing
- image registration
- magnetic resonance images
- ct data
- image reconstruction
- anatomical structures
- clinical practice
- blood flow
- remote sensing
- cone beam
- segmented images
- computer aided diagnosis
- three dimensional
- optical coherence tomography
- spect images
- computer tomography
- lung nodules
- clinical applications
- accurate segmentation
- image guided
- positron emission tomography
- mr images
- motion correction
- segmentation algorithm
- fracture detection
- region growing
- magnetic resonance
- patient specific
- clinical data
- clinical setting
- pet images
- dce mri
- intraoperative