Role of Artificial Intelligence in Brain Stroke Management: A survey
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127221/10127228/10127366.pdf?arnumber=10127366
Reference31 articles.
1. Machine Learning Approach to Identify Stroke Within 4.5 Hours
2. Comparison of Different Machine Learning Approaches to Model Stroke Subtype Classification and Risk Prediction
3. Stroke Disease Detection and Prediction Using Robust Learning Approaches
4. Early Identification of Potentially Salvageable Tissue with MRI-Based Predictive Algorithms after Experimental Ischemic Stroke
5. Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models
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