Classification of optical coherence tomography images using a capsule network

被引：0
|
作者：
Takumasa Tsuji
Yuta Hirose
Kohei Fujimori
Takuya Hirose
Asuka Oyama
Yusuke Saikawa
Tatsuya Mimura
Kenshiro Shiraishi
Takenori Kobayashi
Atsushi Mizota
Jun’ichi Kotoku
机构：
[1] Teikyo University,Graduate School of Medical and Care Technology
[2] Teikyo University School of Medicine,Department of Ophthalmology
[3] Teikyo University School of Medicine,Department of Radiology
[4] Teikyo University Hospital,Central Radiology Division
来源：
BMC Ophthalmology | / 20卷
关键词：
Capsule network; Choroidal neovascularization; Deep learning; Diabetic macular edema; Drusen; Optical coherence tomography;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images
    G. R. Hemalakshmi
    M. Murugappan
    Mohamed Yacin Sikkandar
    S. Sabarunisha Begum
    N. B. Prakash
    Neural Computing and Applications, 2024, 36 : 9171 - 9188
  • [42] Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images
    Hemalakshmi, G. R.
    Murugappan, M.
    Sikkandar, Mohamed Yacin
    Begum, S. Sabarunisha
    Prakash, N. B.
    NEURAL COMPUTING & APPLICATIONS, 2024, 36 (16): : 9171 - 9188
  • [43] Semi-supervised framework for dual encoder attention network: classification of retinopathy in optical coherence tomography images
    Qiu, Huaqiao
    Zheng, Jin
    2024 16TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING, ICCAE 2024, 2024, : 362 - 367
  • [44] Anterior chamber angle classification in anterior segment optical coherence tomography images using hybrid attention based pyramidal convolutional network
    Zhou, Quan
    Wang, Junming
    Guo, Jingmin
    Huang, Zhiwen
    Ding, Mingyue
    Yuchi, Ming
    Zhang, Xuming
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 68
  • [45] Automatic classification of retinal three-dimensional optical coherence tomography images using principal component analysis network with composite kernels
    Fang, Leyuan
    Wang, Chong
    Li, Shutao
    Yan, Jun
    Chen, Xiangdong
    Rabbani, Hossein
    JOURNAL OF BIOMEDICAL OPTICS, 2017, 22 (11)
  • [46] Flow measurement using speckle in optical coherence tomography images
    Barton, JK
    Stromski, S
    Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX, 2005, 5690 : 245 - 256
  • [47] The classification of stages of epiretinal membrane using convolutional neural network on optical coherence tomography image
    Hung, Che-Lun
    Lin, Keng-Hung
    Lee, Yu-Kai
    Mrozek, Dariusz
    Tsai, Yin-Te
    Lin, Chun Hsien
    METHODS, 2023, 214 : 28 - 34
  • [48] Interpretation of optical coherence tomography images
    Vergallo, Rocco
    Jia, Haibo
    Soeda, Tsunenari
    Tian, Jinwei
    Jang, Ik-Kyung
    LANCET, 2014, 383 (9932): : 1887 - 1887
  • [49] Computer-aided diagnosis system for retinal disorder classification using optical coherence tomography images
    Saleh, Neven
    Abdel Wahed, Manal
    Salaheldin, Ahmed M.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2022, 67 (04): : 283 - 294
  • [50] BINARY TISSUE CLASSIFICATION STUDIES ON RESECTED HUMAN BREAST TISSUES USING OPTICAL COHERENCE TOMOGRAPHY IMAGES
    Bhattacharjee, M.
    Ashok, P. C.
    Rao, K. Divakar
    Majumder, S. K.
    Verma, Y.
    Gupta, P. K.
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2011, 4 (01) : 59 - 66
12345