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Diagnosis of Liver Tumors Using Image Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108924" target="_blank" >RIV/00216305:26220/14:PU108924 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Diagnosis of Liver Tumors Using Image Processing

  • Original language description

    In this paper, a computer-aided diagnostic (CAD) system for the diagnosis of benign and malignant liver tumors from computed tomography (CT) images is presented. The research aims to develop an automated way to extract suspicious regions of liver area inthe scanner image to the abdominal area, this research uses a new method for extracting the liver area of the scanned image for abdominal area automatically, depending on the use of connected compounds numbering algorithm CCL, in addition to the use ofdata collection algorithm FCM to extract suspicious regions of the extracted area of the liver.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Engineering Research and Technology (IJERT)

  • ISSN

    2278-0181

  • e-ISSN

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    IN - INDIA

  • Number of pages

    8

  • Pages from-to

    1-8

  • UT code for WoS article

  • EID of the result in the Scopus database