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Edge Detection in Biomedical Images Using Self-Organizing Maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F13%3A43894972" target="_blank" >RIV/60461373:22340/13:43894972 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.intechopen.com/books/artificial-neural-networks-architectures-and-applications/edge-detection-in-biomedical-images-using-self-organizing-maps" target="_blank" >http://www.intechopen.com/books/artificial-neural-networks-architectures-and-applications/edge-detection-in-biomedical-images-using-self-organizing-maps</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5772/51468" target="_blank" >10.5772/51468</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Edge Detection in Biomedical Images Using Self-Organizing Maps

  • Original language description

    The application of self-organizing maps (SOMs) to the edge detection in biomedical images is discussed. The SOM algorithm has been implemented in MATLAB program suite with various optional parameters enabling the adjustment of the model according to theuser?s requirements. For easier application of SOM the graphical user interface has been developed. The edge detection procedure is a critical step in the analysis of biomedical images, enabling for instance the detection of the abnormal structure or therecognition of different types of tissue. The self-organizing map provides a quick and easy approach for edge detection tasks with satisfying quality of outputs, which has been verified using the high-resolution computed tomography images capturing theexpressions of the Granulomatosis with polyangiitis. The obtained results have been discussed with an expert as well.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Artificial Neural Networks - Architectures and Applications

  • ISBN

    978-953-51-0935-8

  • Number of pages of the result

    19

  • Pages from-to

    125-143

  • Number of pages of the book

    256

  • Publisher name

    InTech

  • Place of publication

    Rijeka

  • UT code for WoS chapter