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Asian Conference on Computer Vision

ACCV 2018: Computer Vision – ACCV 2018 Workshops pp 309–315Cite as

Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 11367)

Abstract

As the application of deep learning (DL) advances in the healthcare sector, the need for simultaneous, multi-annotated database of medical images for evaluations of novel DL systems grows. This study looked at DL algorithms that distinguish retinal images by the side of the eyes (Left and Right side) as well as the field positioning (Macular-centred or Optic Disc-centred) and evaluated these algorithms against a large dataset comprised of 7,953 images from multi-ethnic populations. For these convolutional neural networks, L/R model and Mac/OD model, a high AUC (0.978, 0.990), sensitivity (95.9%, 97.6%), specificity (95.5%, 96.7%) and accuracy (95.7%, 97.2%) were found, respectively, for the primary validation sets. The models presented high performance also using the external validation database.

Keywords

  • Retinal fundus images
  • Medical imaging
  • Deep learning

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Author information

Authors and Affiliations

  1. Singapore Eye Research Institute, Singapore, Singapore

    Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong & Daniel Shu Wei Ting

  2. Duke-NUS Medical School, Singapore, Singapore

    Michelle Yuen Ting Yip, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong & Daniel Shu Wei Ting

  3. Singapore National Eye Centre, Singapore, Singapore

    Haslina Hamzah, Jinyi Ho, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong & Daniel Shu Wei Ting

  4. School of Computing, National University of Singapore, Singapore, Singapore

    Gilbert Lim, Dejiang Xu, Mong Li Lee & Wynne Hsu

  5. Instituto Mexicano de Oftalmologia, IAP, Queretaro, Mexico

    Renata Garcia-Franco

  6. Department of Ophthalmology, Frimley Park Hospital, Frimley, UK

    Geeta Menon

Authors
  1. Valentina Bellemo
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  2. Michelle Yuen Ting Yip
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  3. Yuchen Xie
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  4. Xin Qi Lee
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  5. Quang Duc Nguyen
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  6. Haslina Hamzah
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  7. Jinyi Ho
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  8. Gilbert Lim
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  9. Dejiang Xu
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  10. Mong Li Lee
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  11. Wynne Hsu
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  12. Renata Garcia-Franco
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  13. Geeta Menon
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  14. Ecosse Lamoureux
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  15. Ching-Yu Cheng
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  16. Tien Yin Wong
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  17. Daniel Shu Wei Ting
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Corresponding author

Correspondence to Valentina Bellemo .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Adelaide, Adelaide, Australia

    Prof. Gustavo Carneiro

  2. Data61, Commonwealth Scientific and Industrial Research Organization, Canberra, Australia

    Dr. Shaodi You

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Bellemo, V. et al. (2019). Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. In: Carneiro, G., You, S. (eds) Computer Vision – ACCV 2018 Workshops. ACCV 2018. Lecture Notes in Computer Science(), vol 11367. Springer, Cham. https://doi.org/10.1007/978-3-030-21074-8_26

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  • DOI: https://doi.org/10.1007/978-3-030-21074-8_26

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