Automatic segmentation of geographic atrophy in OCT scans using deep learning

被引：0
|
作者：
Cheng, Yuxuan [1 ]
Chu, Zhongdi [1 ]
Shen, Mengxi [2 ]
Laiginhas, Rita [2 ]
Liu, Jeremy [2 ]
Shi, Yingying [2 ]
Li, Jianqing [2 ]
Zhou, Hao [1 ]
Zhang, Qinqin [1 ]
Gregori, Giovanni [2 ]
Rosenfeld, Philip J. [2 ]
Wang, Ruikang K. [1 ,3 ]
机构：
[1] Univ Washington, Bioengn, Seattle, WA 98195 USA
[2] Univ Miami Hlth Syst, Ophthalmol, Bascom Palmer Eye Inst, Miami, FL USA
[3] Univ Washington, Ophthalmol, Seattle, WA 98195 USA
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2022年 / 63卷 / 07期
关键词：
D O I：
暂无
中图分类号：
R77 [眼科学];
学科分类号：
100212 ;
摘要：
1040
引用
收藏
页数：5
相关论文
共 50 条
  • [31] Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
    Hou, Benjamin
    Lee, Sungwon
    Lee, Jung-Min
    Koh, Christopher
    Xiao, Jing
    Pickhardt, Perry J.
    Summers, Ronald M.
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2024, 6 (05)
  • [32] Predicting FTMH presence in OCT scans using a deep learning model
    Hunter, Kaitlyn
    Wheeler, Timothy
    Li, Henry He
    Thomson, Andrew Clark
    Mehanian, Courosh
    Hunter, Allan A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (08)
  • [33] Deep Learning for the Prediction of Visual Function using Macular OCT Scans
    Prahs, Philipp M.
    Brandl, Caroline
    Mayer, Christian
    Cvetkov, Yordan
    Radeck, Viola
    Helbig, Horst
    Marker, David
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [34] Automatic segmentation of dental cone-beam computed tomography scans using a deep learning framework
    Hegyi, Alexandra
    Somodi, Kristof
    Pinter, Csaba
    Molnar, Balint
    Windisch, Peter
    Garcia-Mato, David
    Diaz-Pinto, Andres
    Palkovics, Daniel
    ORVOSI HETILAP, 2024, 165 (32) : 1242 - 1251
  • [35] Eye Disease Prediction Using Deep Learning and Attention on Oct Scans
    A. Anitha Rani
    C. Karthikeyini
    C. Reshma Ravi
    SN Computer Science, 5 (8)
  • [36] Performance of OCT segmentation procedures to assess morphology and extension in geographic atrophy
    Schuetze, Christopher
    Ahlers, Christian
    Sacu, Stefan
    Mylonas, Georgios
    Sayegh, Ramzi
    Golbaz, Isabelle
    Matt, Gerlinde
    Stock, Geraldine
    Schmidt-Erfurth, Ursula
    ACTA OPHTHALMOLOGICA, 2011, 89 (03) : 235 - 240
  • [37] Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging
    Wu, Menglin
    Cai, Xinxin
    Chen, Qiang
    Ji, Zexuan
    Niu, Sijie
    Leng, Theodore
    Rubin, Daniel L.
    Park, Hyunjin
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 182
  • [38] Deep Learning Segmentation-Free Assessment of Retinal Nerve Fiber Layer in OCT Scans
    Mariottoni, Eduardo Bicalho
    Jammal, Alessandro A.
    Urata, Carla
    Thompson, Atalie C.
    Medeiros, Felipe A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [39] Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning
    Figueredo, Weslley Kelson Ribeiro
    Silva, Aristofanes Correa
    de Paiva, Anselmo Cardoso
    Diniz, Joao Otavio Bandeira
    Brandao, Alice
    Oliveira, Marco Aurelio Pinho
    IMAGE AND VISION COMPUTING, 2024, 151
  • [40] A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans
    Szeskin, Adi
    Yehuda, Roei
    Shmueli, Or
    Levy, Jaime
    Joskowicz, Leo
    MEDICAL IMAGE ANALYSIS, 2021, 72
12345