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Optical Disc Segmentation Using Fully Convolutional Neural Network in Retina Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128916" target="_blank" >RIV/00216305:26220/18:PU128916 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optical Disc Segmentation Using Fully Convolutional Neural Network in Retina Images

  • Original language description

    This paper focuses on optic disc segmentation, which is one of the main steps in glaucoma diagnostics. A novel method, based on semantic, pixel-wise segmentation using the fully convolutional network is applied to the RIM-ONE dataset. This approach is advantageous because no additional preprocessing or postprocessing is needed. Moreover, results are promising, reaching mean IOU at about 0.7 and thus can compete with state of the art methods. The only disadvantage lays in the need of training dataset of sufficient size.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of IEEE Student Branch Conference Blansko 2018

  • ISBN

    978-80-214-5661-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    16-20

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno

  • Event location

    Blansko

  • Event date

    Sep 10, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article