State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound
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Summary
The state-of-the-art methods and systems for the measurement of LD/IAD in CCA based on automated or semi-automated strategies and stenosis quantification and risk stratification strategies are presented.
- Type
- article
- Published
- 2018-09-01
- Cited by
- 31
- References
- 104
- Access
- Open access
- OpenAlex
- https://openalex.org/W30119850
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:52031281
Keywords
Session (web analytics), Computer science, World Wide Web
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- Fundamentals in artificial intelligence for vascular surgeons.
- Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease
- Automated measurement of compression-decompression in arterial diameter and wall thickness by image-free ultrasound
- Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study
- A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework
- Automatic multi-plaque tracking and segmentation in ultrasonic videos
- Artificial Intelligence Evidence-Based Current Status and Potential for Lower Limb Vascular Management
- Unseen Artificial Intelligence—Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study
- A Multiscale Approach for Predicting Certain Effects of Hand-Transmitted Vibration on Finger Arteries
- Time-warping for robust automated arterial wall-recognition and tracking from single-scan-line ultrasound signals.
- Automated Deep Learning-based Single-Step Diameter Estimation of Carotid Arteries in B-mode Ultrasound
- Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
- Application of Artificial Intelligence Methods in Carotid Artery Segmentation: A Review
- BP-Net: Boundary and perfusion feature guided dual-modality ultrasound video analysis network for fibrous cap integrity assessment
- Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
- Near-wall hemodynamic parameters of finger arteries altered by hand-transmitted vibration
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