MR image classification by the neural network and the genetic algorithms

Tamer Olmez; Zumray Dokur; Ertugrul Yazgan

MR image classification by the neural network and the genetic algorithms

Tamer Olmez^*, Zumray Dokur, Ertugrul Yazgan

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

2 Atıf (Scopus)

Özet

A novel neural network trained by the genetic algorithms (GAs) is presented. Each neuron of the network forms a closed region in an input space. The locations of the centers of the closed regions (CR) are optimized in order to minimize the number of the neurons used and to improve the classification performance. After the network is trained by the set which is formed by the supervisor, it is used to classify a magnetic resonance (MR) image with a tumor.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1140-1141
Sayfa sayısı	2
Dergi	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Hacim	3
Yayın durumu	Yayınlandı - 1996
Etkinlik	Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth Süre: 31 Eki 1996 → 3 Kas 1996

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "MR image classification by the neural network and the genetic algorithms",

abstract = "A novel neural network trained by the genetic algorithms (GAs) is presented. Each neuron of the network forms a closed region in an input space. The locations of the centers of the closed regions (CR) are optimized in order to minimize the number of the neurons used and to improve the classification performance. After the network is trained by the set which is formed by the supervisor, it is used to classify a magnetic resonance (MR) image with a tumor.",

author = "Tamer Olmez and Zumray Dokur and Ertugrul Yazgan",

year = "1996",

language = "English",

volume = "3",

pages = "1140--1141",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) ; Conference date: 31-10-1996 Through 03-11-1996",

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TY - JOUR

T1 - MR image classification by the neural network and the genetic algorithms

AU - Olmez, Tamer

AU - Dokur, Zumray

AU - Yazgan, Ertugrul

PY - 1996

Y1 - 1996

N2 - A novel neural network trained by the genetic algorithms (GAs) is presented. Each neuron of the network forms a closed region in an input space. The locations of the centers of the closed regions (CR) are optimized in order to minimize the number of the neurons used and to improve the classification performance. After the network is trained by the set which is formed by the supervisor, it is used to classify a magnetic resonance (MR) image with a tumor.

AB - A novel neural network trained by the genetic algorithms (GAs) is presented. Each neuron of the network forms a closed region in an input space. The locations of the centers of the closed regions (CR) are optimized in order to minimize the number of the neurons used and to improve the classification performance. After the network is trained by the set which is formed by the supervisor, it is used to classify a magnetic resonance (MR) image with a tumor.

UR - http://www.scopus.com/inward/record.url?scp=0030314268&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0030314268

SN - 0589-1019

VL - 3

SP - 1140

EP - 1141

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5)

Y2 - 31 October 1996 through 3 November 1996

ER -

MR image classification by the neural network and the genetic algorithms

Özet

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