Training Size Effect on Deep Learning Models for Geographic Atrophy

被引:0
|
作者
Slater, Robert [1 ]
Banghart, Mark [1 ]
Channa, Roomasa [1 ]
Blodi, Barbara A. [1 ]
Fong, Donald S. [2 ]
Domalpally, Amitha [1 ]
机构
[1] Univ Wisconsin Madison, Wisconsin Reading Ctr, Madison, WI USA
[2] Annexon Biosci, Brisbane, CA USA
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] Comparative analysis of training approaches for deep learning geographic atrophy segmentation models
    Musial, Gwen
    Zhang, Qinqin
    Salehi, Ali
    Herrera, Gissel
    Shen, Mengxi
    Gregori, Giovanni
    Rosenfeld, Philip J.
    Cheng, Yuxuan
    Wang, Ruikang K.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (07)
  • [2] Quantifying Uncertainty of Deep Learning Models for the Segmentation of Geographic Atrophy
    Spaide, Theodore
    Owen, Julia
    De Sisternes, Luis
    Lewis, Warren
    Manivannan, Niranchana
    Pramil, Varsha
    Sheikh, Harris Asad
    Waheed, Nadia K.
    Lee, Cecilia S.
    Lee, Aaron Y.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (08)
  • [3] Deep learning in geographic atrophy: the best is yet to come
    Biarnes, Marc
    LANCET DIGITAL HEALTH, 2021, 3 (10): : E617 - E618
  • [4] Geographic Atrophy Segmentation Using Multimodal Deep Learning
    Spaide, Theodore
    Jiang, Jiaxiang
    Patil, Jasmine
    Anegondi, Neha
    Steffen, Verena
    Kawczynski, Michael G.
    Newton, Elizabeth M.
    Rabe, Christina
    Gao, Simon S.
    Lee, Aaron Y.
    Holz, Frank G.
    Sadda, Srinivas
    Schmitz-Valckenberg, Steffen
    Ferrara, Daniela
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2023, 12 (07):
  • [5] Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning
    Spaide, Theodore
    Rajesh, Anand E.
    Gim, Nayoon
    Blazes, Marian
    Lee, Cecilia S.
    Macivannan, Niranchana
    Lee, Gary
    Lewis, Warren
    Salehi, Ali
    de Sisternes, Luis
    Herrera, Gissel
    Shen, Mengxi
    Gregori, Giovanni
    Rosenfeld, Philip J.
    Pramil, Varsha
    Waheed, Nadia
    Wu, Yue
    Zhang, Qinqin
    Lee, Aaron Y.
    OPHTHALMOLOGY SCIENCE, 2025, 5 (01):
  • [6] Prediction of Geographic Atrophy Enlargement using Various Deep Learning Approaches
    Domalpally, Amitha
    Slater, Robert
    Banghart, Mark
    Channa, Roomasa
    Fong, Donald S.
    Blodi, Barbara A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (08)
  • [7] Deep learning identifies hyperreflective foci as predictors of geographic atrophy progression
    Schmidt-Erfurth, Ursula
    Waldstein, Sebastian M.
    Grechenig, Christoph
    Reiter, Gregor Sebastian
    Baratsits, Magdalena
    Bui, Patricia
    Fabianska, Maria
    Arikan, Mustafa
    Sadeghipour, Amir
    Bogunovic, Hrvoje
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [8] Automatic segmentation of geographic atrophy in OCT scans using deep learning
    Cheng, Yuxuan
    Chu, Zhongdi
    Shen, Mengxi
    Laiginhas, Rita
    Liu, Jeremy
    Shi, Yingying
    Li, Jianqing
    Zhou, Hao
    Zhang, Qinqin
    Gregori, Giovanni
    Rosenfeld, Philip J.
    Wang, Ruikang K.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [9] Prediction of Geographic Atrophy progression by deep learning applied to retinal imaging
    Normand, Guillaume
    Quellec, Gwenole
    Danno, Ronan
    Lay, Bruno
    Weissgerber, Georges
    Zakaria, Nadia
    Chandra, Sudeep
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [10] Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models
    Safai, Apoorva
    Froines, Colin
    Slater, Robert
    Linderman, Rachel E.
    Bogost, Jacob
    Pacheco, Caleb
    Voland, Rickie
    Pak, Jeong
    Tiwari, Pallavi
    Channa, Roomasa
    Domalpally, Amitha
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (08)