![](/images/graphics-bg.png)
Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images
Joint Authors
Faghih Dinevari, Vahid
Karimian Khosroshahi, Ghader
Zolfy Lighvan, Mina
Source
Applied Bionics and Biomechanics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Wireless capsule endoscopy (WCE) is a new noninvasive instrument which allows direct observation of the gastrointestinal tract to diagnose its relative diseases.
Because of the large number of images obtained from the capsule endoscopy per patient, doctors need too much time to investigate all of them.
So, it would be worthwhile to design a system for detecting diseases automatically.
In this paper, a new method is presented for automatic detection of tumors in the WCE images.
This method will utilize the advantages of the discrete wavelet transform (DWT) and singular value decomposition (SVD) algorithms to extract features from different color channels of the WCE images.
Therefore, the extracted features are invariant to rotation and can describe multiresolution characteristics of the WCE images.
In order to classify the WCE images, the support vector machine (SVM) method is applied to a data set which includes 400 normal and 400 tumor WCE images.
The experimental results show proper performance of the proposed algorithm for detection and isolation of the tumor images which, in the best way, shows 94%, 93%, and 93.5% of sensitivity, specificity, and accuracy in the RGB color space, respectively.
American Psychological Association (APA)
Faghih Dinevari, Vahid& Karimian Khosroshahi, Ghader& Zolfy Lighvan, Mina. 2016. Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images. Applied Bionics and Biomechanics،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1094812
Modern Language Association (MLA)
Faghih Dinevari, Vahid…[et al.]. Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images. Applied Bionics and Biomechanics No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1094812
American Medical Association (AMA)
Faghih Dinevari, Vahid& Karimian Khosroshahi, Ghader& Zolfy Lighvan, Mina. Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images. Applied Bionics and Biomechanics. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1094812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094812