Classification of Medical Ultrasound Images of Kidney

نویسندگان

  • Prema T. Akkasaligar
  • Sunanda Biradar
  • Wan M. Hafizah
  • Eko Supriyanto
  • Ashish K. Rudra
  • Ananda S. Chowdhury
  • Ahmed Elnakib
  • Fahmi Khalifa
  • Ahmed Soliman
  • Ayman El-Baz
  • Carlos S. Mendoza
  • Xin Kang
  • Nabile Safdar
  • Emmarie Myers
  • Craig A. Peters
چکیده

Ultrasonography is considered to be safest technique in medical imaging and hence is used extensively. Due to the presence of speckle noise and other constraints, establishing the general segmentation scheme for different classes of kidney in ultrasound image is a challenging task. This paper aims at classification of medical ultrasound images of kidney as normal and cystic images. In the proposed method, the acquired images are manually cropped to find the region of interest (ROI) of kidney. The cropped images are pre-processed using three different filters namely Gaussian low-pass filter, median filter and Weiner filter to remove speckle noise. The despeckled images are used for extraction of potential texture features that

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تاریخ انتشار 2014