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An Adaptive Threshold Based Algorithm for Detection of Red Lesions of Diabetic Retinopathy in a Fundus Image

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU111157" target="_blank" >RIV/00216305:26220/14:PU111157 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7005982" target="_blank" >https://ieeexplore.ieee.org/document/7005982</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MedCom.2014.7005982" target="_blank" >10.1109/MedCom.2014.7005982</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Adaptive Threshold Based Algorithm for Detection of Red Lesions of Diabetic Retinopathy in a Fundus Image

  • Original language description

    The paper proposes an algorithm for detection of Red Lesions present in a fundus image of an eye. Red Lesions include Micro-aneurysms and Hemorrhages, which are the symptoms of Diabetic Retinopathy, a widespread eye disease which affects almost every diabetic patient at some point of the patients life. The paper presents an adaptive method to detect the red lesions present in an image. The proposed method will estimate the upper threshold and the lower threshold of the red lesions for the given fundus image individually based on local image information. The significance of the adaptive nature of this proposed algorithm is that fundus images acquired from different cameras may vary in quality and resolution. As a result the intensity of red lesions may vary from image to image. Since, the intensity of red lesions is similar to that of the blood vessels for a specific image, therefore this similarity has been utilized to develop an accurate, adaptive algorithm for the detection of red lesions, wherein every fundus image is processed with a different intensity threshold value resulting more accurate detection.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MEDCOM 2014 CD-ROM

  • ISBN

    978-1-4799-5096-6

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    91-94

  • Publisher name

    Neuveden

  • Place of publication

    Greater Noida

  • Event location

    Greater Noida

  • Event date

    Nov 7, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000375057800019