Automated technique for carotid plaque characterisation and classification using RDWT in ultrasound images-Reference-Cited by-同舟云学术

Automated technique for carotid plaque characterisation and classification using RDWT in ultrasound images

Published:2021-12-26 Issue: Volume: Page:1-13
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Mailerum Perumal Arun¹,Balaji G.N.²,Dhiviya Rose J.³,Kulkarni Asha⁴,Shajin Francis H⁵

Affiliation:

1. Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed to be University), Chennai

2. Associate Professor, Department of Computer Science and Engineering, SRM TRP Engineering College, Trichy

3. Assistant Professor (S.G.), Department of Cybernetics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Energy Acres, Bidholi, Dehradun- 248007, Uttarakhand, India

4. Head of Department, Electronics & Communication Engineering Department, JSS Polytechnic, Mysore, Karnataka, India

5. Department of Electronics and Communication Engineering, Anna University, Chennai, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2021.2004444

Reference40 articles.

1. Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound

2. Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

3. Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm

4. An Ultrasonographic Risk Score For Detecting Symptomatic Carotid Atherosclerotic Plaques

5. Su1828 - Raid-CD Monitor: A New Non-Invasive Method to Determine Endoscopic Activity in Patients with Inflammatory Bowel Diseases

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparative analysis of preprocessing techniques on ultrasound images of CCA;International Journal of System Assurance Engineering and Management;2024-01-05

2. BP-Net: Boundary and perfusion feature guided dual-modality ultrasound video analysis network for fibrous cap integrity assessment;Computerized Medical Imaging and Graphics;2023-07