A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features.
Haoyue ZhangJennifer PolsonKambiz NaelNoriko SalamonBryan YooWilliam SpeierCorey W. ArnoldPublished in: BHI (2021)
Keyphrases
- ischemic stroke
- image features
- health care
- magnetic resonance
- mr images
- medical images
- image content
- information systems
- image representation
- image classification
- multiscale
- image registration
- computer vision
- bayesian network classifiers
- brain images
- feature selection
- keypoints
- unsupervised learning
- feature extraction
- image segmentation
- decision making
- object categories
- x ray
- object classes
- discriminative power
- object recognition
- object models
- expert systems
- mr imaging
- brain image segmentation
- image analysis