Evaluating nnU-Net for early ischemic change segmentation on non-contrast computed tomography in patients with Acute Ischemic Stroke.
Houssam El-HaririLuis A. Souto Maior NetoPetra CimflovaFouzi BalaRotem GolanAlireza SojoudiChris DuszynskiIbukun ElebuteSeyed Hossein MousaviWu QiuBijoy K. MenonPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- ischemic stroke
- computed tomography
- medical images
- medical imaging
- contrast enhanced
- ct images
- ct scans
- liver segmentation
- health care
- lung nodules
- image reconstruction
- three dimensional
- ct data
- computed tomography scans
- image segmentation
- heart disease
- anatomical structures
- medical image processing
- computer tomography
- fracture detection
- medical image segmentation
- segmentation algorithm
- coronary artery disease
- image analysis
- x ray
- magnetic resonance
- mr images
- level set
- inter observer variability
- imaging modalities
- pet ct
- lymph nodes
- ct imaging
- medical data
- pulmonary nodules
- intraoperative
- medical diagnosis
- magnetic resonance imaging
- image registration
- image processing
- remote sensing
- image guided
- clinical practice
- computer vision
- magnetic resonance images