Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi

Ipek Toker; Berat Dogan; Sedef Kent Pinar

doi:10.1109/SIU.2015.7130233

Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi

Translated title of the contribution: Segmentation of brain MRI images by using type-II fuzzy clustering algorithm

Ipek Toker, Berat Dogan, Sedef Kent Pinar

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c-means algorithm and type-2 fuzzy c-means algorithm were compared. After several experiments it was shown that, the type-2 fuzzy c-means algorithm performed better than the standard fuzzy c-means algorithm.

Translated title of the contribution	Segmentation of brain MRI images by using type-II fuzzy clustering algorithm
Original language	Turkish
Title of host publication	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1909-1912
Number of pages	4
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130233
Publication status	Published - 19 Jun 2015
Event	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015

Publication series

Name	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130233

Cite this

Toker, I., Dogan, B., & Pinar, S. K. (2015). Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 1909-1912). Article 7130233 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130233

Toker, Ipek ; Dogan, Berat ; Pinar, Sedef Kent. / Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1909-1912 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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abstract = "In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c-means algorithm and type-2 fuzzy c-means algorithm were compared. After several experiments it was shown that, the type-2 fuzzy c-means algorithm performed better than the standard fuzzy c-means algorithm.",

keywords = "Clustering, Multiple sclerosis, Segmentation",

author = "Ipek Toker and Berat Dogan and Pinar, {Sedef Kent}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

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doi = "10.1109/SIU.2015.7130233",

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series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

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Toker, I, Dogan, B & Pinar, SK 2015, Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130233, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1909-1912, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130233

Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi. / Toker, Ipek; Dogan, Berat; Pinar, Sedef Kent.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1909-1912 7130233 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi

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AU - Dogan, Berat

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PY - 2015/6/19

Y1 - 2015/6/19

N2 - In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c-means algorithm and type-2 fuzzy c-means algorithm were compared. After several experiments it was shown that, the type-2 fuzzy c-means algorithm performed better than the standard fuzzy c-means algorithm.

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KW - Multiple sclerosis

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T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

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BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

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Toker I, Dogan B, Pinar SK. Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1909-1912. 7130233. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130233

Beyin MR Görüntülerinin Tip-2 Bulanik Kümeleme Algoritmasi ile Bölütlenmesi

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