Ultrasound Image Segmentation by Using a FIR Neural Network
Publish place: 21th Iranian Conference on Electric Engineering
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE21_570
تاریخ نمایه سازی: 27 مرداد 1392
Abstract:
Ultrasound (US) image segmentation is a difficult task because of its heavy speckle noise, low quality and blurry boundaries. In this paper, a new neural network based method isproposed for ultrasound images segmentation. A modified self organizing map (SOM) network, named finite impulse responseSOM (FIR-SOM), is utilized to segment ultrasound images. A two dimensional (2D) discrete wavelet transform (DWT) is usedto build the input feature space of the network. Experimentalresults show that FIR-SOM discovers the pattern of the input image properly and is robust against noise. Segmentation resultsof breast ultrasound images (BUS) demonstrate that there is a strong correlation between tumor region selected by a physician and the tumor region segmented by our proposed method
Keywords:
Artificial neural network (ANN) , ultrasound image (US) segmentation , computer aided diagnosis (CAD)systems
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