All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Cervical Cancer Detection And Classification Using Independent Level Sets And Multi SVMs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120282" target="_blank" >RIV/00216305:26220/16:PU120282 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7760935" target="_blank" >https://ieeexplore.ieee.org/document/7760935</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760935" target="_blank" >10.1109/TSP.2016.7760935</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cervical Cancer Detection And Classification Using Independent Level Sets And Multi SVMs

  • Original language description

    Introduced in 1940, Pap smear test has proven to be an effective screening method to determine the different stages of cervical cancer. Identification and classification of Pap smear images to detect cervical cancer via manual screening is a challenging task for pathologists therefore increasing the chances of human error. In this paper, we propose an automatic method to detect and classify the grade of cervical cancer using both geometric and texture features of Pap smear images and classifying accordingly using multi SVM. The geometric features are obtained through segmentation of nucleus and cytoplasm using independent level sets, detecting whether the cell is cancerous or normal, with reference to the ground truth. By extracting well defined GLCM texture features and using a combination of PCA and the best class of multi SVM, the images are classified with an accuracy of 95%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

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)

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

    Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016

  • ISBN

    978-1-5090-1287-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    523-528

  • 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

    000390164000114