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Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096564" target="_blank" >RIV/61989100:27240/15:86096564 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7319334" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7319334</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EMBC.2015.7319334" target="_blank" >10.1109/EMBC.2015.7319334</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm

  • Original language description

    The early detection of breast cancer makes many women survive. In this paper, a CAD system classifying breast cancer thermograms to normal and abnormal is proposed. This approach consists of two main phases: automatic segmentation and classification. Forthe former phase, an improved segmentation approach based on both Neutrosophic sets (NS) and optimized Fast Fuzzy c-mean (F-FCM) algorithm was proposed. Also, post-segmentation process was suggested to segment breast parenchyma (i.e. ROI) from thermogram images. For the classification, different kernel functions of the Support Vector Machine (SVM) were used to classify breast parenchyma into normal or abnormal cases. Using benchmark database, the proposed CAD system was evaluated based on precision, recall, and accuracy as well as a comparison with related work. The experimental results showed that our system would be a very promising step toward automatic diagnosis of breast cancer using thermograms as the accuracy reached 100%. (C) 2

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Volume 2015-November

  • ISBN

    978-1-4244-9271-8

  • ISSN

    1557-170X

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    4254-4257

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Miláno

  • Event date

    Aug 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article