Semi-supervised Transfer Learning for Convolutional Neural Networks for Glaucoma Detection

Manal Al Ghamdi, Mingqi Li, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha

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

1 Scopus citations

Abstract

Convolutional neural network (CNN) can be applied in glaucoma detection for achieving good performance. However, its performance depends on the availability of a large number of the labelled samples for its training phase. To solve this problem, this paper present a semi-supervised transfer learning CNN model for automatic glaucoma detection based on both labeled and unlabeled data. First, a pre-trained CNN from non-medical data is fine-tuned and trained in a supervised fashion using the labeled data. The self-learning approach is then used to predict the labels for the unlabeled data and utilize it for training. The experimental results on the RIM-ONE database demonstrate the effectiveness of the proposed algorithm despite the lack of initial labeled samples.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3812-3816
Number of pages5
ISBN (Electronic)9781479981311
DOIs
StatePublished - May 1 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: May 12 2019May 17 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May
ISSN (Print)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period5/12/195/17/19

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Keywords

  • convolutional neural networks
  • feature learning
  • glaucoma detection
  • Semi-supervised

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Al Ghamdi, M., Li, M., Abdel-Mottaleb, M., & Abou Shousha, M. (2019). Semi-supervised Transfer Learning for Convolutional Neural Networks for Glaucoma Detection. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 3812-3816). [8682915] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2019.8682915