Coronary Artery Segmentation and Tissue Characterization Using Deep Learning: " Virtual" IB- IVUS

被引:0
|
作者
Masuda, Yuto [1 ]
Takeshita, Ryo [2 ]
Wakasa, Shiho [1 ]
Tochibora, Ryota [1 ]
Ichiryu, Hajime [1 ]
Takai, Mizuki [1 ]
Ishihara, Takeshi [1 ]
Endo, Susumu [1 ]
Sahashi, Yuki [1 ]
Hayashi, MIsayo [1 ]
Yoshida, Tamami [1 ]
Yamamoto, Saori [1 ]
Ishiguro, Maya [1 ]
Naruse, Genki [1 ]
Miwa, Hirotaka [1 ]
Yoshida, Akihiro [3 ]
Minatoguchi, Shingo [4 ]
Nakabo, Ayumi [1 ]
Watanabe, Takatomo [1 ]
Takasugi, Nobuhiro [1 ]
Yamada, Yoshihisa [1 ]
Kanamori, Hiromitsu [1 ]
Fukuoka, Daisuke [5 ]
Hara, Takeshi [6 ]
Okura, Hiroyuki [7 ]
机构
[1] Gifu Univ, Grad Sch Med, Gifu, Japan
[2] Gifu Univ, Grad Sch Nat Sci & Technol, Gifu, Japan
[3] Stanford Univ Hosp, Stanford, CA USA
[4] Mt Sinai Hosp, New York, NY USA
[5] Gifu Univ, Fac Educ, Gifu, Japan
[6] Gifu Univ, Fac Engn, Gifu, Japan
[7] Gifu Univ, Gifu, Japan
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
TCT-254
引用
收藏
页码:B99 / B100
页数:2
相关论文
共 50 条
  • [41] Deep-Learning-Based Intravascular Ultrasound Segmentation for the Assessment of Coronary Artery Disease
    Nishi, Takeshi
    Yamashita, Rikiya
    Imura, Shinji
    Kozuka, Kazuki
    Yock, Paul G.
    Honda, Yasuhiro
    Fitzgerald, Peter
    CIRCULATION, 2020, 142
  • [42] Heart Coronary Artery Segmentation and Disease Risk Warning Based on a Deep Learning Algorithm
    Xiao, Can
    Li, Yi
    Jiang, Yimin
    IEEE ACCESS, 2020, 8 : 140108 - 140121
  • [43] Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease
    Nishi, Takeshi
    Yamashita, Rikiya
    Imura, Shinji
    Tateishi, Kazuya
    Kitahara, Hideki
    Kobayashi, Yoshio
    Yock, Paul G.
    Fitzgerald, Peter J.
    Honda, Yasuhiro
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2021, 333 : 55 - 59
  • [44] Automatic coronary artery segmentation algorithm based on deep learning and digital image processing
    Fangzheng Tian
    Yongbin Gao
    Zhijun Fang
    Jia Gu
    Applied Intelligence, 2021, 51 : 8881 - 8895
  • [45] Deep Learning-Based Fully Automated Segmentation of IVUS for Quantitative Measurement
    Yang, Jing
    Li, Jing
    Dai, Neng
    Ma, Jun
    Lan, Hongzhi
    Zheng, Lingxiao
    Ge, Junbo
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 74 (13) : B349 - B349
  • [46] Segmentation and characterization of macerated fibers and vessels using deep learning
    Qamar, Saqib
    Baba, Abu Imran
    Verger, Stephane
    Andersson, Magnus
    PLANT METHODS, 2024, 20 (01)
  • [47] Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical
    Xian, Zhanchao
    Wang, Xiaoqing
    Yan, Shaodi
    Yang, Dahao
    Chen, Junyu
    Peng, Changnong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [48] Stenosis Detection and Quantification of Coronary Artery Using Machine Learning and Deep Learning
    Zhang, Xinhong
    Zhang, Boyan
    Zhang, Fan
    ANGIOLOGY, 2024, 75 (05) : 405 - 416
  • [49] AngioPy Segmentation: : An open-source, user-guided deep learning tool for coronary artery segmentation
    Mahendiran, Thabo
    Thanou, Dorina
    Senouf, Ortal
    Jamaa, Yassine
    Fournier, Stephane
    De Bruyne, Bernard
    Abbe, Emmanuel
    Muller, Olivier
    Ando, Edward
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2025, 418
  • [50] Breast tissue segmentation in MR images using deep-learning
    Forghani, Y.
    Timotoe, R.
    Figueiredo, M.
    Marques, T.
    Batista, E.
    Cordoso, F.
    Cardoso, M. J.
    Santinha, J.
    Gouveia, P.
    EUROPEAN JOURNAL OF CANCER, 2024, 200 : 116 - 116