NDLI: Segmentation of tumor ultrasound image via region-based Ncut method

Content Provider	Springer Nature Link
Author	Quan, Long Zhang, Dong Yang, Yan Liu, Yu Qin, Qianqing
Copyright Year	2013
Abstract	To segment the tumor region precisely is a prerequisite for ultrasound navigation and treatment. In this paper, a normalized cut method to segment tumor ultrasound image is proposed by means of simple linear iterative clustering for pre-segmentation procedure. The first step, we use simple linear iterative clustering algorithm to divide the image into a number of homogeneous over-segmented regions. Then, these regions are regarded as nodes, and a similarity matrix is constructed by comparing the histograms of each two regions. Finally, we apply the Ncut method to merging the over-segmented regions, then the image segmentation process is completed. The results show that the proposed segmentation scheme handles the strong speckle noise, low contrast, and weak edges well in ultrasound image. Our method has high segmentation precision and computation efficiency than the pixel-based Ncut method.
Starting Page	313
Ending Page	318
Page Count	6
File Format	PDF
ISSN	10071202
Journal	Wuhan University Journal of Natural Sciences
Volume Number	18
Issue Number	4
e-ISSN	19934998
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-08-23
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	tumor ultrasound image Ncut method pre-segment image segmentation algorithm Life Sciences Materials Science Computer Science
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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