Reducing Speckle Noise from Ultrasound Images Using an Autoencoder Network

Karaoğlu O., Bilge H. Ş., Uluer İ.

28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 5 - 07 Ekim 2020 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu49456.2020.9302250
  • Basıldığı Ülke: ELECTR NETWORK
  • Anahtar Kelimeler: image enhancement, deep learning, ultrasound imaging, denoising autoencoder
  • Gazi Üniversitesi Adresli: Evet

Özet

Image enhancement aims to obtain a clear image from a noisy image and it also uses for ultrasound images. In the experimental study, unlike classical image enhancement methods, deep learning method was used. Different levels of speckle noise added to the ultrasound images of the brachial plexus, which is known as the large nerve community under the armpit, were tried to be removed with the help of the convolutional denoising autoencoder network, which is one of the deep learning methods. The results obtained from the experimental study were compared with classical methods results and the proposed method was found to be more successful than classical methods.