Publication detail

Efficient Convolutional Neural Network Based Optic Disc Analysis Using Digital Fundus Images

JOSHI, R. DUTTA, M. SIKORA, P. KIAC, M.

Original Title

Efficient Convolutional Neural Network Based Optic Disc Analysis Using Digital Fundus Images

Type

conference paper

Language

English

Original Abstract

Glaucoma is a disease of optic disk which is a worldwide problem and is one of the major and critical causes of the irreversible loss of the vision. It is the second most significant vision problem after cataract. In glaucoma, the sight loss is due to the permanent damage of the optic nerve which is the result of a chronic elevation of intraocular pressure. Most of the developed methods are costly and time consuming. Imaging of fundus for screening is the most common glaucoma detection technique. In this paper, an automatic and fast deep learning based method for glaucoma detection is presented. Digital fundus images of different resolution from three eye dataset are augmented by rotating and scaling at different values. The automatic setup can process the fundus image in 0.2 seconds. The proposed method is tested on the 1220 fundus images and achieved an average accuracy of 93.698%, sensitivity of 89.054% and specificity of 95.848%. Also, the results signify the proposed method is resolution independent, rotation and scaling invariant, and have rapid glaucoma screening time.

Keywords

Biomedical Imaging; Blindness; Deep Learning; Glaucoma Detection; Transfer Learning; Vision Loss

Authors

JOSHI, R.; DUTTA, M.; SIKORA, P.; KIAC, M.

Released

11. 8. 2020

Publisher

IEEE

Location

Milan, Italy

ISBN

978-1-7281-6376-5

Book

Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

Pages from

533

Pages to

536

Pages count

4

URL

https://ieeexplore.ieee.org/document/9163560

BibTex

@inproceedings{BUT164733,
  author="Rakesh Chandra {Joshi} and Malay Kishore {Dutta} and Pavel {Sikora} and Martin {Kiac}",
  title="Efficient Convolutional Neural Network Based Optic Disc Analysis Using Digital Fundus Images",
  booktitle="Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2020",
  pages="533--536",
  publisher="IEEE",
  address="Milan, Italy",
  doi="10.1109/TSP49548.2020.9163560",
  isbn="978-1-7281-6376-5",
  url="https://ieeexplore.ieee.org/document/9163560"
}