Segmentation of ultrasound images by using wavelet transform

Kurnaz M., Dokur Z., Olmez T.

25th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Cancun, Meksika, 17 - 21 Eylül 2003, cilt.25, ss.657-659 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 25
  • Doi Numarası: 10.1109/iembs.2003.1279845
  • Basıldığı Şehir: Cancun
  • Basıldığı Ülke: Meksika
  • Sayfa Sayıları: ss.657-659
  • İstanbul Teknik Üniversitesi Adresli: Hayır

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.