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An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129294" target="_blank" >RIV/00216305:26220/18:PU129294 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CIACT.2018.8480175" target="_blank" >http://dx.doi.org/10.1109/CIACT.2018.8480175</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CIACT.2018.8480175" target="_blank" >10.1109/CIACT.2018.8480175</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing

  • Original language description

    Melanoma can prove fatal if not diagnosed at early stage. Computer aided identification of diseases can equip normal people in performing a screening test of diseases. The accurate lesion segmentation plays a crucial role in correct diagnosis of skin diseases. This work proposes a skin lesion segmentation method using statistical analysis and bit plane slicing. Hole filling operation is competent enough to sufficiently reject the noisy pixels from the finally segmented image. The results of skin lesion segmentation obtained from the proposed algorithm has been compared with the annotated images available with the database. The results arepresented in form of overlapping score and correlation coefficient. An average overlapping score and correlation coefficient of 91.59% and 92.07%, respectively, is obtained from the proposed algorithm. Also, an image based performance analysis of segmented lesion has been done and an average sensitivity of 94.33% has been achieved. The results are convincing and suggests that the proposed work can be used for some real-time application.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

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

    International Conference on "Computational Intelligence and Communication Technology"

  • ISBN

    978-1-5386-0886-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    GHAZIABAD, India

  • Event location

    GHAZIABAD

  • Event date

    Feb 9, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000450112300015