Deep learning-based polyp detection in wireless capsule endoscopy images
Joint Authors
Ashur, Amirah S.
al-Sirsi, Dua S. A.
Salim, Mahmud M.
Source
Journal of Engineering Research
Issue
Vol. 5, Issue 4 (31 Dec. 2021), pp.61-66, 6 p.
Publisher
Tanta University Faculty of Engineering
Publication Date
2021-12-31
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Topics
Abstract EN
Gastrointestinal (GI) system diseases have increased significantly, where colon and rectum cancer is considered the second cause of death in 2020.
Wireless Capsule Endoscopy (WCE) is a revolutionary procedure for detecting Colorectal lesions.
It was automatically used to detect the polyps, multiple SB lesions, bleeding, and Ulcer.
The acquired video by the WCE can be processed using a Computer-Aided Diagnosis (CAD) system.
However, such videos suffer several problems, including burling, high illumination.
and distortion.
These effects obligate the development of image processing techniques of high accuracy in detection using deep learning-based segmentation.
In this paper, a transfer learning-based U-Net was proposed to transfer the knowledge between the medical images in the training phase and the subsequent segmentation using transfer learning to achieve better results and high accuracy results compared to other related studies.
The improvement is done by using an algorism written in python code The results showed average segmentation accuracy of 98.67%
American Psychological Association (APA)
al-Sirsi, Dua S. A.& Salim, Mahmud M.& Ashur, Amirah S.. 2021. Deep learning-based polyp detection in wireless capsule endoscopy images. Journal of Engineering Research،Vol. 5, no. 4, pp.61-66.
https://search.emarefa.net/detail/BIM-1363771
Modern Language Association (MLA)
al-Sirsi, Dua S. A.…[et al.]. Deep learning-based polyp detection in wireless capsule endoscopy images. Journal of Engineering Research Vol. 5, no. 4 (2021), pp.61-66.
https://search.emarefa.net/detail/BIM-1363771
American Medical Association (AMA)
al-Sirsi, Dua S. A.& Salim, Mahmud M.& Ashur, Amirah S.. Deep learning-based polyp detection in wireless capsule endoscopy images. Journal of Engineering Research. 2021. Vol. 5, no. 4, pp.61-66.
https://search.emarefa.net/detail/BIM-1363771
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 65-66
Record ID
BIM-1363771