Diabetic Retinopathy Detection Based on Deep Convolutional Neural Networks

Yi Wei Chen, Tung Yu Wu, Wing Hung Wong, Chen-Yi Lee

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

8 Scopus citations

Abstract

Diabetic retinopathy is the primary cause of blindness in the working-age population of the developed world. Diagnosing the disease heavily relies on imaging studies, which is a time consuming and a manual process performed by trained clinicians. Enhancing the accuracy and speed of the detection process can potentially have a significant impact on population health via early diagnosis and intervention. Motivated by this, we propose a recognition pipeline based on deep convolutional neural networks. In our pipeline, we design lightweight networks called SI2DRNet-vl along with six methods to further boost the detection performance. Without any fine-tuning, our recognition pipeline outperforms state of the art on the Messidor dataset along with 5.26x fewer in total parameters and 2.48x fewer in total floating operations.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1030-1034
Number of pages5
ISBN (Print)9781538646588
DOIs
StatePublished - 10 Sep 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: 15 Apr 201820 Apr 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Conference

Conference2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
CountryCanada
CityCalgary
Period15/04/1820/04/18

Keywords

  • Deep Convolutional Neural Networks
  • Diabetic Retinopathy Detection
  • Image Classification

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    Chen, Y. W., Wu, T. Y., Wong, W. H., & Lee, C-Y. (2018). Diabetic Retinopathy Detection Based on Deep Convolutional Neural Networks. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (pp. 1030-1034). [8461427] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8461427