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Automatic Detection of Red Lesions in Diabetic Retinopathy using Shape Based Extraction Technique in Fundus Image

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120118" target="_blank" >RIV/00216305:26220/16:PU120118 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/7760938" target="_blank" >https://ieeexplore.ieee.org/abstract/document/7760938</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760938" target="_blank" >10.1109/TSP.2016.7760938</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Detection of Red Lesions in Diabetic Retinopathy using Shape Based Extraction Technique in Fundus Image

  • Original language description

    The paper proposes an automatic image processing algorithm based on shape features for the detection of red lesions. In Diabetic Retinopathy Micro-aneurysms and hemorrhages comes under the category of red lesions, which is the most common eye disease caused in diabetic patients and also leads to blindness. This paper describes an effective methodology to study any computer-aided fundus image that can be utilized as a tool for diagnosis and detection of red lesions. A Shape based extraction technique using three parameters i.e. Perimeter Area and Eccentricity is used to segment out the red lesions from rest of the image. Since the algorithm consider shape features for detection of red lesion which makes it efficient and independent of image quality. The results that are experimentally obtained by applying this algorithm has been compared with those of the ophthalmologist and the comparison of these results have been highly accurate. In addition to the accuracy of the obtained results, the proposed method is fast and having very low computational time.

  • 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

    <a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    39th International Conference on Telecommunications and Signal Processing (TSP) 2016

  • ISBN

    978-1-5090-1287-9

  • ISSN

    1805-5435

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    538-542

  • Publisher name

    Neuveden

  • Place of publication

    neuveden

  • Event location

    Vídeň

  • Event date

    Jun 27, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390164000117