Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)

被引：0
|
作者：
Maunz, Andreas [1 ]
Benmansour, Fethallah [1 ]
Li, Yun [1 ]
Albrecht, Thomas [1 ]
Zhang, Yan-Ping [1 ]
Arcadu, Filippo [1 ]
Zheng, Yalin [2 ,3 ]
Madhusudhan, Savita [2 ,3 ]
Sahni, Jayashree [1 ]
机构：
[1] F Hoffmann La Roche Ltd, Roche Innovat Ctr, Pharma Res & Early Dev, Basel, Switzerland
[2] Univ Liverpool, Dept Eye & Vis Sci, Liverpool, Merseyside, England
[3] Royal Liverpool Univ Hosp, Liverpool Ophthalm Reading Ctr NetwORC UK, St Pauls Eye Unit, Liverpool, Merseyside, England
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2020年 / 61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：
2649
引用
收藏
页数：3
相关论文
共 50 条
  • [1] Correlation of SD-OCT Features and Retinal Sensitivity in Neovascular Age-Related Macular Degeneration
    Sulzbacher, Florian
    Kiss, Christopher
    Kaider, Alexandra
    Eisenkoelbl, Stefan
    Munk, Marion
    Roberts, Philipp
    Sacu, Stefan
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2012, 53 (10) : 6448 - 6455
  • [2] Reproducibility of Macular Thickness Measurements Using Cirrus SD-OCT in Neovascular Age-Related Macular Degeneration
    Parravano, Mariacristina
    Oddone, Francesco
    Boccassini, Barbara
    Menchini, Francesca
    Chiaravalloti, Adele
    Schiavone, Mauro
    Varano, Monica
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2010, 51 (09) : 4788 - 4791
  • [3] SD-OCT "subretinal evanescent hyporeflectivity" in age-related macular degeneration
    Evtouchenko, Polina Astroz
    Amoroso, Francesca
    Semoun, Oudy
    Srour, Mayer
    Mouallem-Beziere, Alexandra
    Querques, Giuseppe
    Souied, Eric H.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [4] A machine learning approach to predict response to anti-VEGF treatment in patients with neovascular age-related macular degeneration using SD-OCT
    Sahni, Jayashree Nair
    Maunz, Andreas
    Arcadu, Filippo
    Schaerer, Yan-Ping Zhang
    Li, Yvonna
    Albrecht, Thomas
    Thalhammer, Andreas
    Benmansour, Fethallah
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (11)
  • [5] Segmented SD-OCT imaging and microperimetry outcomes in age-related macular degeneration
    Cassels, Nicola
    Wild, John
    Margrain, Tom
    Pearce, Liz
    Blyth, Chris
    Sivaprasad, Sobha
    Chong, Victor
    Acton, Jennifer
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2016, 57 (12)
  • [6] The diagnostic accuracy of OCT angiography in naive and treated neovascular age-related macular degeneration: a review
    Rhianon Perrott-Reynolds
    Robert Cann
    Nicola Cronbach
    Yan Ning Neo
    Vivian Ho
    Orla McNally
    Haifa A Madi
    Claire Cochran
    Usha Chakravarthy
    Eye, 2019, 33 : 274 - 282
  • [7] The diagnostic accuracy of OCT angiography in naive and treated neovascular age-related macular degeneration: a review
    Perrott-Reynolds, Rhianon
    Cann, Robert
    Cronbach, Nicola
    Neo, Yan Ning
    Ho, Vivian
    McNally, Orla
    Madi, Haifa A.
    Cochran, Claire
    Chakravarthy, Usha
    EYE, 2019, 33 (02) : 274 - 282
  • [8] Selective photodynamic therapy for neovascular age-related macular degeneration with polypoidal choroidal neovascularization
    Eandi, Chiara M.
    Ober, Michael D.
    Freund, K. Bailey
    Slakter, Jason S.
    Yannuzzi, Lawrence A.
    RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 2007, 27 (07): : 825 - 831
  • [9] Pemafibrate prevents choroidal neovascularization in a mouse model of neovascular age-related macular degeneration
    Lee, Deokho
    Nakai, Ayaka
    Miwa, Yukihiro
    Negishi, Kazuno
    Tomita, Yohei
    Kurihara, Toshihide
    PEERJ, 2023, 11
  • [10] Quantitative SD-OCT Imaging Biomarkers as Indicators of Age-Related Macular Degeneration Progression
    de Sisternes, Luis
    Simon, Noah
    Tibshirani, Robert
    Leng, Theodore
    Rubin, Daniel L.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2014, 55 (11) : 7093 - 7103
12345