Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing

Mohammad Norouzifard, Ali Nemati, Hamid Gholamhosseini, Reinhard Klette, Kouros Nouri-Mahdavi, Siamak Yousefi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We developed a deep learning algorithm for identifying glaucoma on optic nerve head (ONH) photographs. We applied transfer learning to overcome overfitting on the small training sample size that we employed. The transfer learning framework that was previously trained on large datasets such as ImageNet, uses the initial parameters and makes the approach applicable to small sample sizes. We then classified the input ONH photographs as 'normal' or 'glaucoma'. The proposed approach achieved a validation accuracy of 92.3% on a dataset of 277 ONH photographs from normal eyes and 170 ONH photographs from eyes with glaucoma. In order to re-test the accuracy and generalizability of the proposed approach, we re-tested the algorithm using an independent dataset of 30 ONH photographs. The re-test accuracy was 80.0% on average.

Original languageEnglish (US)
Title of host publication2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728101255
DOIs
StatePublished - Feb 4 2019
Event2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018 - Auckland, New Zealand
Duration: Nov 19 2018Nov 21 2018

Publication series

NameInternational Conference Image and Vision Computing New Zealand
Volume2018-November
ISSN (Print)2151-2191
ISSN (Electronic)2151-2205

Conference

Conference2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018
CountryNew Zealand
CityAuckland
Period11/19/1811/21/18

Fingerprint

Optics
Testing
Learning algorithms

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Norouzifard, M., Nemati, A., Gholamhosseini, H., Klette, R., Nouri-Mahdavi, K., & Yousefi, S. (2019). Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. In 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018 [8634671] (International Conference Image and Vision Computing New Zealand; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/IVCNZ.2018.8634671

Automated Glaucoma Diagnosis Using Deep and Transfer Learning : Proposal of a System for Clinical Testing. / Norouzifard, Mohammad; Nemati, Ali; Gholamhosseini, Hamid; Klette, Reinhard; Nouri-Mahdavi, Kouros; Yousefi, Siamak.

2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018. IEEE Computer Society, 2019. 8634671 (International Conference Image and Vision Computing New Zealand; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Norouzifard, M, Nemati, A, Gholamhosseini, H, Klette, R, Nouri-Mahdavi, K & Yousefi, S 2019, Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. in 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018., 8634671, International Conference Image and Vision Computing New Zealand, vol. 2018-November, IEEE Computer Society, 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018, Auckland, New Zealand, 11/19/18. https://doi.org/10.1109/IVCNZ.2018.8634671
Norouzifard M, Nemati A, Gholamhosseini H, Klette R, Nouri-Mahdavi K, Yousefi S. Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. In 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018. IEEE Computer Society. 2019. 8634671. (International Conference Image and Vision Computing New Zealand). https://doi.org/10.1109/IVCNZ.2018.8634671
Norouzifard, Mohammad ; Nemati, Ali ; Gholamhosseini, Hamid ; Klette, Reinhard ; Nouri-Mahdavi, Kouros ; Yousefi, Siamak. / Automated Glaucoma Diagnosis Using Deep and Transfer Learning : Proposal of a System for Clinical Testing. 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018. IEEE Computer Society, 2019. (International Conference Image and Vision Computing New Zealand).
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