Deep learning-based detection of advanced AMD on retinal OCT from the UK Biobank dataset on behalf of the PINNACLE Consortium

被引：0
|
作者：
Leingang, Oliver [1 ]
Bogunovic, Hrvoje [1 ]
Reiter, Gregor Sebastian [1 ]
Chakravarty, Arunava [1 ]
Menten, Martin Joseph [2 ]
Holland, Robert [2 ]
Fritsche, Lars G. [3 ]
Scholl, Hendrik P. [4 ]
Rueckert, Daniel [2 ]
Sivaprasad, Sobha [5 ]
Lotery, Andrew J. [6 ]
Schmidt-Erfurth, Ursula [1 ]
机构：
[1] Med Univ Wien, Dept Ophthalmol, Vienna, Austria
[2] Tech Univ Munich, Inst AI & Informat Med, Munich, Germany
[3] Univ Michigan, Ann Arbor, MI USA
[4] Inst Mol & Clin Ophthalmol Basel, Basel, Switzerland
[5] Moorfields Eye Hosp NHS Fdn Trust, London, England
[6] Univ Southampton, Southampton, Hants, England
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2023年 / 64卷 / 08期
基金：
英国惠康基金;
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：
引用
收藏
页数：3
相关论文
共 50 条
  • [1] Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)
    Leingang, Oliver
    Riedl, Sophie
    Mai, Julia
    Reiter, Gregor S.
    Faustmann, Georg
    Fuchs, Philipp
    Scholl, Hendrik P. N.
    Sivaprasad, Sobha
    Rueckert, Daniel
    Lotery, Andrew
    Schmidt-Erfurth, Ursula
    Bogunovic, Hrvoje
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [2] Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)
    Oliver Leingang
    Sophie Riedl
    Julia Mai
    Gregor S. Reiter
    Georg Faustmann
    Philipp Fuchs
    Hendrik P. N. Scholl
    Sobha Sivaprasad
    Daniel Rueckert
    Andrew Lotery
    Ursula Schmidt-Erfurth
    Hrvoje Bogunović
    Scientific Reports, 13 (1)
  • [3] Deep learning-based retinal layer reconstruction from OCT scans for anomaly detection and localization
    Zerihun, Bisrat
    Reisman, Charles A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [4] Automated deep learning-based AMD stage detection in real-world OCT datasets
    Leingang, Oliver
    Bogunovic, Hrvoje
    Riedl, Sophie
    Chakravarty, Arunava
    Menten, Martin Joseph
    Holland, Robbie
    Traber, Ghislaine L.
    Fritsche, Lars
    Prevost, Toby
    Scholl, Hendrik P.
    Rueckert, Daniel
    Sivaprasad, Sobha
    Lotery, Andrew J.
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [5] Deep learning-based fluid segmentation in AMD OCT scans: Pretraining on a public dataset and fine-tuning for a specific setting
    Chen, Zhi
    Bach, Bernardo Bolzani
    Wahle, Andreas
    Zhang, Honghai
    Sohn, Elliott
    Sonka, Milan
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (07)
  • [6] A benchmark dataset for deep learning-based airplane detection: HRPlanes
    Bakirman, Tolga
    Sertel, Elif
    INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES, 2023, 8 (03): : 212 - 223
  • [7] Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD
    Gerendas, Bianca S. S.
    Sadeghipour, Amir
    Michl, Martin
    Alten, Thomas
    Buehl, Wolf
    Sacu, Stefan
    Bogunovic, Hrvoje
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [8] Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning
    Seeboeck, Philipp
    Vogl, Wolf-Dieter
    Waldstein, Sebastian M.
    Baratsits, Magdalena
    Orlando, Jose Ignacio
    Alten, Thomas
    Bogunovic, Hrvoje
    Arikan, Mustafa
    Mylonas, Georgios
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [9] Deep Learning-Based Retinal Imaging for Predicting Cardiovascular Disease Events in Prediabetic and Diabetic Patients: A Study Using the UK Biobank
    Lee, Chan Joo
    Rim, Tyler H.
    Kang, Hyun Goo
    Kim, Sung Soo
    Lee, Geunyoung
    Yu, Marco
    Tham, Yih-Chung
    Cheng, Ching-Yu
    Park, Sung Ha
    CIRCULATION, 2023, 148
  • [10] Validation of a Deep-Learning-Based Retinal Biomarker in the Prediction of Cardiovascular Disease: Data From UK Biobank
    Tseng, Rachel M.
    Rim, Tyler Hyungtaek
    Shantsila, Eduard
    Park, Sung Ha
    Kim, Sung Soo
    Lee, Chan Joo
    Tham, Yih Chung
    Thakur, Sahil
    Yi, Joseph
    Nusinovici, Simon
    Peng, Qingsheng
    Yu, Marco
    Lee, Geunyoung
    Leeson, Paul
    Lip, Gregory
    Wong, Tien Y.
    Cheng, Ching-Yu
    CIRCULATION, 2022, 146
12345