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本文引用的文献

1
Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery Disease.基于深度学习的冠状动脉疾病血管内超声图像管腔与血管分割
Korean Circ J. 2024 Jan;54(1):30-39. doi: 10.4070/kcj.2023.0166. Epub 2023 Oct 16.
2
Coronary Physiology-Based Approaches for Plaque Vulnerability: Implications for Risk Prediction and Treatment Strategies.基于冠状动脉生理学的斑块易损性评估方法：对风险预测和治疗策略的启示
Korean Circ J. 2023 Sep;53(9):581-593. doi: 10.4070/kcj.2023.0117.
3
Intravascular Imaging-Derived Physiology-Basic Principles and Clinical Application.血管内成像衍生生理学——基本原理与临床应用
Interv Cardiol Clin. 2023 Jan;12(1):83-94. doi: 10.1016/j.iccl.2022.09.008.
4
Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease.基于深度学习的血管内超声分割在冠状动脉疾病评估中的应用。
Int J Cardiol. 2021 Jun 15;333:55-59. doi: 10.1016/j.ijcard.2021.03.020. Epub 2021 Mar 16.
5
Influence of operator expertise and coronary luminal segmentation technique on diagnostic performance, precision and reproducibility of reduced-order CT-derived fractional flow reserve technique.术者经验和冠状动脉管腔分段技术对降阶 CT 衍生的血流储备分数技术诊断性能、精度和可重复性的影响。
J Cardiovasc Comput Tomogr. 2020 Jul-Aug;14(4):356-362. doi: 10.1016/j.jcct.2019.11.014. Epub 2019 Nov 26.
6
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.基于冠状动脉计算机断层扫描血管造影的机器学习方法对冠状动脉血流储备分数的诊断准确性：MACHINE 联盟的研究结果。
Circ Cardiovasc Imaging. 2018 Jun;11(6):e007217. doi: 10.1161/CIRCIMAGING.117.007217.
7
Segmentation of arterial walls in intravascular ultrasound cross-sectional images using extremal region selection.使用极值区域选择法对血管内超声横截面图像中的动脉壁进行分割。
Ultrasonics. 2018 Mar;84:356-365. doi: 10.1016/j.ultras.2017.11.020. Epub 2017 Dec 6.

Deep Learning-Based Intravascular Ultrasound Images Segmentation in Coronary Artery Disease: A Start Developing the Cornerstone.

作者信息

Ho Nghia Nguyen, Lee Kwan Yong, Noh Junhyug, Lee Sang-Wook

机构信息

School of Mechanical Engineering, University of Ulsan, Ulsan, Korea.

Cardiovascular Center and Cardiology Division, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.

出版信息

Korean Circ J. 2024 Jan;54(1):40-42. doi: 10.4070/kcj.2023.0297. Epub 2023 Nov 29.

DOI:10.4070/kcj.2023.0297
PMID:38111187
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10784612/
Abstract
摘要