Publication Details

Synthetic Retinal Images from Unconditional GANs

BISWAS Sangeeta, ROHDIN Johan A. and DRAHANSKÝ Martin. Synthetic Retinal Images from Unconditional GANs. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Berlin: IEEE Computer Society, 2019, pp. 2736-2739. ISBN 978-1-5386-1311-5. Available from: https://ieeexplore.ieee.org/document/8857857
Czech title
Syntetické obrazy sítnice z bezpodmínkových GAN
Type
conference paper
Language
english
Authors
Biswas Sangeeta, Ph.D. (DITS FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
URL
Keywords

eye retina, blood vessels, GAN, synthetic image

Abstract

Synthesized retinal images are highly demanded in the development of automated eye applications since they can make machine learning algorithms more robust by increasing the size and heterogeneity of the training database. Recently, conditional Generative Adversarial Networks (cGANs) based synthesizers have been shown to be promising for generating retinal images. However, cGANs based synthesizers require segmented blood vessels (BV) along with RGB retinal images during training. The amount of such data (i.e., retinal images and their corresponding BV) available in public databases is very small. Therefore, for training cGANs, an extra system is necessary either for synthesizing BV or for segmenting BV from retinal images. In this paper, we show that by using unconditional GANs (uGANs) we can generate synthesized
retinal images without using BV images.

Published
2019
Pages
2736-2739
Proceedings
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society
Conference
41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlín, DE
ISBN
978-1-5386-1311-5
Publisher
IEEE Computer Society
Place
Berlin, DE
DOI
10.1109/EMBC.2019.8857857
UT WoS
000557295303038
EID Scopus
2-s2.0-85077843777
BibTeX 
@INPROCEEDINGS{FITPUB11971,
   author = "Sangeeta Biswas and A. Johan Rohdin and Martin Drahansk\'{y}",
   title = "Synthetic Retinal Images from Unconditional GANs",
   pages = "2736--2739",
   booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society",
   year = 2019,
   location = "Berlin, DE",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5386-1311-5",
   doi = "10.1109/EMBC.2019.8857857",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11971"
}
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