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Synthetic Retinal Images from Unconditional GANs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135167" target="_blank" >RIV/00216305:26230/19:PU135167 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8857857" target="_blank" >https://ieeexplore.ieee.org/document/8857857</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EMBC.2019.8857857" target="_blank" >10.1109/EMBC.2019.8857857</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Synthetic Retinal Images from Unconditional GANs

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society

  • ISBN

    978-1-5386-1311-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    2736-2739

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Berlin

  • Event location

    Berlin

  • Event date

    Jul 23, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000557295303038