Radiomics Based Prediction of Symptomatic Carotid Plaque in MR Images
Author:
Affiliation:
1. Advanced Medical Engineering Research Institute, University of Hyogo,Himeji,Hyogo,Japan
2. Harima-Himeji General Medical Center,Himeji,Hyogo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10327787/10327919/10327957.pdf?arnumber=10327957
Reference9 articles.
1. Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning
2. Identification of High-Risk Carotid Plaque with MRI-based Radiomics and Machine learning;zhang;Radiology,2016
3. Radiomics: Images Are More than Pictures, They Are Data
4. Outcomes between 30 Days and 1 Year after Carotid Artery Stenting Using FilterWire EZ: Clinical Results and Diffusion-weighted MRI Findings in 262 Consecutive Patients
5. Significance of blood aspiration in carotid artery stenting with Angioguard XP
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