Ultrasound Image Segmentation by Using a FIR Neural Network

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 971

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICEE21_570

تاریخ نمایه سازی: 27 مرداد 1392

چکیده مقاله:

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

کلیدواژه ها:

Artificial neural network (ANN) ، ultrasound image (US) segmentation ، computer aided diagnosis (CAD)systems

نویسندگان

Nima Torbati

Iran University of Science and Technology, Tehran, Iran