Computer-Aided Detection And Classification Of Mass From Bus Images: Theory And Experiments

 Computer-Aided Detection and Classification of Mass from BUS Images: Theory and Experiments Text fb2 book

Computer-Aided Detection (CAD) of breast cancer helps the radiologists in early diagnosis of breast cancer with good accuracy in a very cost-effective way. There is a growing interest for breast ultrasound (BUS) diagnosis owing to its efficiency and portability. However, the presence of speckle noise, low contrast and blurred boundary of mass in a BUS image make it challenging to determine the mas...

Paperback: 136 pages
Publisher: LAP LAMBERT Academic Publishing (February 7, 2018)
Language: English
ISBN-10: 613734214X
ISBN-13: 978-6137342145
Product Dimensions: 5.9 x 0.3 x 8.7 inches
Format: PDF ePub fb2 djvu ebook

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urrent work, a CAD system is proposed for the diagnosis of breast cancer from BUS images. The methodology includes the phases of preprocessing, segmentation, feature extraction and classification of BUS images. The preprocessing algorithm used in this work efficiently removes noise and enhances the contrast of BUS images. Segmenting an accurate region of interest in turn results in efficient feature extraction and classification of BUS images into benign and malignant ones. The proposed CAD system has been tested on Matlab platform with several images to obtain reasonably good accuracy, specificity, and sensitivity. Moreover, hardware/software co-simulation of preprocessing and active contour based segmentation algorithm on Xilinx Zynq has been performed using Vivado HLS.