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A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video
Joint Authors
Source
Diagnostic and Therapeutic Endoscopy
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Wireless capsule endoscopy (WCE) enables a physician to diagnose a patient's digestive system without surgical procedures.
However, it takes 1-2 hours for a gastroenterologist to examine the video.
To speed up the review process, a number of analysis techniques based on machine vision have been proposed by computer science researchers.
In order to train a machine to understand the semantics of an image, the image contents need to be translated into numerical form first.
The numerical form of the image is known as image abstraction.
The process of selecting relevant image features is often determined by the modality of medical images and the nature of the diagnoses.
For example, there are radiographic projection-based images (e.g., X-rays and PET scans), tomography-based images (e.g., MRT and CT scans), and photography-based images (e.g., endoscopy, dermatology, and microscopic histology).
Each modality imposes unique image-dependent restrictions for automatic and medically meaningful image abstraction processes.
In this paper, we review the current development of machine-vision-based analysis of WCE video, focusing on the research that identifies specific gastrointestinal (GI) pathology and methods of shot boundary detection.
American Psychological Association (APA)
Chen, Yingju& Lee, Jeongkyu. 2012. A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video. Diagnostic and Therapeutic Endoscopy،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-470597
Modern Language Association (MLA)
Chen, Yingju& Lee, Jeongkyu. A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video. Diagnostic and Therapeutic Endoscopy No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-470597
American Medical Association (AMA)
Chen, Yingju& Lee, Jeongkyu. A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video. Diagnostic and Therapeutic Endoscopy. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-470597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470597