NDLI: Segmentation of Small Bowel Tumors in Wireless Capsule Endoscopy Using Level Set Method

Content Provider	IEEE Xplore Digital Library
Author	Alizadeh, M. Zadeh, H.S. Maghsoudi, O.H.
Copyright Year	2014
Description	Author affiliation: Radiol. Image Anal. Lab., Henry Ford Health Syst., Detroit, MI, USA (Zadeh, H.S.) \|\| Dept. of Bioeng., Temple Univ., Philadelphia, PA, USA (Alizadeh, M.; Maghsoudi, O.H.)
Abstract	In this paper, we proposed an algorithm to segment small bowel tumors. In order to increase effectiveness of Level Set Method (LSM) we applied adaptive gamma correction method (AGCM) that is based on prior information of illumination of images. We applied this method on 10 small bowel tumor images captured by Wireless Capsule Endoscopy (WCE). The performance measurements (i.e. sensitivity, specificity, and accuracy) by using hand ground method are computed for different parameters of a (0.05, 0.07, 0.09, 0.11, and 0.13) in AGCM, and then compared with traditional LSM and Snake method. The proposed method shows increased sensitivity up to 0.87 in a=0.13 while other performance measurements decrease by increasing value of a. the sensitivity of the other methods are 0.2 and 0.22, respectively. The optimal value of these measurements is 0.73 that takes place in a=0.1.
Starting Page	562
Ending Page	563
File Size	678166
Page Count	2
File Format	PDF
ISBN	9781479944354
ISSN	23729198
DOI	10.1109/CBMS.2014.140
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tumors Image segmentation Endoscopes Level set Sensitivity Wireless sensor networks Wireless communication image segmentation wireless capsule endoscopy level set method adaptive gamma correction method
Content Type	Text
Resource Type	Article

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