Deep-learning based analysis of intracoronary optical coherence tomography images: detection and characterization of lipid plaques

被引：0
|
作者：
Volleberg, R. H. J. A. [1 ]
Esteban, G. Rodgriguez [2 ]
Mol, J. H. Q. [1 ]
Quax, S. [2 ]
Isgum, I. [3 ]
Sanchez, C. I. [4 ]
Van Ginneken, B. [2 ]
Thannhauser, J. [2 ]
Van Royen, N. [1 ]
机构：
[1] Radboud Univ Nijmegen, Cardiol, Med Ctr, Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Diagnost Image Anal Grp, Med Ctr, Nijmegen, Netherlands
[3] Univ Amsterdam, Amsterdam UMC, Radiol & Nucl Med, Amsterdam, Netherlands
[4] Univ Amsterdam, Amsterdam UMC, Biomed Engn & Phys, Amsterdam, Netherlands
来源：
EUROPEAN HEART JOURNAL | 2023年 / 44卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [31] Polymeric endovascular strut and lumen detection algorithm for intracoronary optical coherence tomography images
    Amrute, Junedh M.
    Athanasiou, Lambros S.
    Rikhtegar, Farhad
    de la Torre Hernandez, Jose M.
    Garcia Camarero, Tamara
    Edelman, Elazer R.
    JOURNAL OF BIOMEDICAL OPTICS, 2018, 23 (03)
  • [32] Mechanical analysis of atherosclerotic plaques based on optical coherence tomography
    Chau, AH
    Chan, RC
    Shishkov, M
    MacNeill, B
    Iftimiia, N
    Tearney, GJ
    Kamm, RD
    Bouma, BE
    Kaazempur-Mofrad, MR
    ANNALS OF BIOMEDICAL ENGINEERING, 2004, 32 (11) : 1494 - 1503
  • [33] Deep learning based characterization of human organoids using optical coherence tomography
    Wang, Bingjie
    Ganjee, Razieh
    Khandaker, Irona
    Flohr, Keevon
    He, Yuanhang
    Li, Guang
    Wesalo, Joshua
    Sahel, JOSe -A L. A. I. N.
    Silva, Susana da
    Pi, Shaohua
    BIOMEDICAL OPTICS EXPRESS, 2024, 15 (05): : 3112 - 3127
  • [34] Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis
    Ran, An Ran
    Cheung, Carol Y.
    Wang, Xi
    Chen, Hao
    Luo, Lu-yang
    Chan, Poemen P.
    Wong, Mandy O. M.
    Chang, Robert T.
    Mannil, Suria S.
    Young, Alvin L.
    Yung, Hon-wah
    Pang, Chi Pui
    Heng, Pheng-Ann
    Tham, Clement C.
    LANCET DIGITAL HEALTH, 2019, 1 (04): : E172 - E182
  • [35] Deep learning-based inpainting of saturation artifacts in optical coherence tomography images
    Hu, Muyun
    Yuan, Zhuoqun
    Yang, Di
    Zhao, Jingzhu
    Liang, Yanmei
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2024, 17 (03)
  • [36] Classification of salivary gland tumors in optical coherence tomography images based on deep learning
    Wu, Guangyi
    Yang, Zihan
    Yuan, Zhuoqun
    Shang, Jianwei
    Zhang, Jun
    Liang, Yanmei
    LASER PHYSICS, 2022, 32 (06)
  • [37] Mechanical Analysis of Atherosclerotic Plaques Based on Optical Coherence Tomography
    Alexandra H. Chau
    Raymond C. Chan
    Milen Shishkov
    Briain MacNeill
    Nicusor Iftimia
    Guillermo J. Tearney
    Roger D. Kamm
    Brett E. Bouma
    Mohammad R. Kaazempur-Mofrad
    Annals of Biomedical Engineering, 2004, 32 : 1494 - 1503
  • [38] Self super-resolution of optical coherence tomography images based on deep learning
    Yuan, Zhuoqun
    Yang, Di
    Wang, Weike
    Zhao, Jingzhu
    Liang, Yanmei
    OPTICS EXPRESS, 2023, 31 (17) : 27566 - 27581
  • [39] Deep Learning Based Method for Retinal Layer Segmentation In Optical Coherence Tomography Images
    Zadro, Ivana
    Loncaric, Sven
    Radmilovic, Marin
    Vatavuk, Zoran
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (11)
  • [40] Deep Learning-Based Optical Coherence Tomography and Optical Coherence Tomography Angiography Image Analysis: An Updated Summary
    Ran, Anran
    Cheung, Carol Y.
    ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY, 2021, 10 (03): : 253 - 260
12345