Application Kernel Modified Fuzzy C-Means for gliomatosis cerebri

Andi Wulan, Melati Vidi Jannati, Zuherman Rustam, Ahmad Afif Fauzan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

Differences in treatment of gliomatosis cerebri and brain infection are crucial to the healing process. Nowadays, Magnetic Resonance Spectroscopy (MRS) is used to determine the content of metabolites in patients with glioma (astrocytoma) or brain infection. An analysis of the MRS cannot be used as a reference for determining whether a patient suffering from brain glioma or brain infection. This paper discusses the process of classifying the MRS data to determine the disease suffered by a patient. The ultimate purpose of this paper is to determine MRS data classification accuracy using Modified Kernel Fuzzy C-Means. Modified Kernel Fuzzy C-Means is the refinement of Fuzzy C-Means and uses kernel function as the distance measure. The accuracy of the classification is very dependent on the parameters in the Kernel Modified Fuzzy C-Means algorithm.

Original languageEnglish
Title of host publicationProceedings - 2016 12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016
Subtitle of host publicationIn Conjunction with the 6th Annual International Conference of Syiah Kuala University
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-38
Number of pages4
ISBN (Electronic)9781509033850
DOIs
Publication statusPublished - 20 Jun 2017
Event12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016 - Banda Aceh, Indonesia
Duration: 4 Oct 20166 Oct 2016

Publication series

NameProceedings - 2016 12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016: In Conjunction with the 6th Annual International Conference of Syiah Kuala University

Conference

Conference12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016
CountryIndonesia
CityBanda Aceh
Period4/10/166/10/16

Keywords

  • classification cancer
  • gliomatosis cerebri
  • kernel function
  • modified fuzzy C-means

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