Segmentation of Ultrasound Images by Using Wavelet Transform

M. N. Kurnaz; Z. Dokur; T. Ölmez

Segmentation of Ultrasound Images by Using Wavelet Transform

M. N. Kurnaz^*
, Z. Dokur
, T. Ölmez

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma çıktısı: Dergi yayını › Konferans makalesi › Hakem

2 Atıf (Scopus)

Özet

This paper presents a new feature extraction method for the segmentation of ultrasound images. Wavelet transform is proposed for determination of the textures in the ultrasound images. Elements of the feature vectors are formed by the wavelet coefficients at several decomposition level. In this study, incremental self-organized neural network (INeN) is proposed as the classifier. The classification performance is increased by using the wavelet transform and the INeN together.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	657-659
Sayfa sayısı	3
Dergi	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Hacim	1
Yayın durumu	Yayınlandı - 2003
Etkinlik	A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico Süre: 17 Eyl 2003 → 21 Eyl 2003

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Link to publication in Scopus

Alıntı Yap

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title = "Segmentation of Ultrasound Images by Using Wavelet Transform",

abstract = "This paper presents a new feature extraction method for the segmentation of ultrasound images. Wavelet transform is proposed for determination of the textures in the ultrasound images. Elements of the feature vectors are formed by the wavelet coefficients at several decomposition level. In this study, incremental self-organized neural network (INeN) is proposed as the classifier. The classification performance is increased by using the wavelet transform and the INeN together.",

keywords = "Classification, Neural networks, Segmentation of biomedical images, Self organized map",

author = "Kurnaz, \{M. N.\} and Z. Dokur and T. {\"O}lmez",

year = "2003",

language = "English",

volume = "1",

pages = "657--659",

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 = "A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 17-09-2003 Through 21-09-2003",

}

TY - JOUR

T1 - Segmentation of Ultrasound Images by Using Wavelet Transform

AU - Kurnaz, M. N.

AU - Dokur, Z.

AU - Ölmez, T.

PY - 2003

Y1 - 2003

N2 - This paper presents a new feature extraction method for the segmentation of ultrasound images. Wavelet transform is proposed for determination of the textures in the ultrasound images. Elements of the feature vectors are formed by the wavelet coefficients at several decomposition level. In this study, incremental self-organized neural network (INeN) is proposed as the classifier. The classification performance is increased by using the wavelet transform and the INeN together.

AB - This paper presents a new feature extraction method for the segmentation of ultrasound images. Wavelet transform is proposed for determination of the textures in the ultrasound images. Elements of the feature vectors are formed by the wavelet coefficients at several decomposition level. In this study, incremental self-organized neural network (INeN) is proposed as the classifier. The classification performance is increased by using the wavelet transform and the INeN together.

KW - Classification

KW - Neural networks

KW - Segmentation of biomedical images

KW - Self organized map

UR - https://www.scopus.com/pages/publications/1542332597

M3 - Conference article

AN - SCOPUS:1542332597

SN - 0589-1019

VL - 1

SP - 657

EP - 659

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 - A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 17 September 2003 through 21 September 2003

ER -

Segmentation of Ultrasound Images by Using Wavelet Transform

Özet

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