A Review on Computational Approaches for Disease Diagnosis in Wireless Capsule Endoscopy Images

A Review on Computational Approaches for Disease Diagnosis in Wireless Capsule Endoscopy Images

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-8
Year of Publication : 2019
Authors : Mrs.R.Sathiya, Dr.R.Kalaimagal
DOI :  10.14445/22315381/IJETT-V67I8P206

Citation 

MLA Style: Mrs.R.Sathiya, Dr.R.Kalaimagal"A Review on Computational Approaches for Disease Diagnosis in Wireless Capsule Endoscopy Images" International Journal of Engineering Trends and Technology 67.8 (2019): 29-48.

APA Style:Mrs.R.Sathiya, Dr.R.Kalaimagal. A Review on Computational Approaches for Disease Diagnosis in Wireless Capsule Endoscopy ImagesInternational Journal of Engineering Trends and Technology, 67(8), 29-48.

Abstract
Wireless Capsule Endoscopy (WCE) is a commonly used technique for the examination of inflammatory bowl diseases and disorders in clinics. It is an effective and efficient non-invasive procedure for the visualization of the entire small intestine of a patient. It enables a physician to diagnose the abnormality of the digestive system at the earliest for prognosis. The manual examination of the WCE images, frame by frame is a tedious task for physicians. A physician requires two to three hours for the investigation of WCE images of one patient for the accurate diagnosis and staging of the diseases. Therefore, intelligent approaches are designed and implemented in the past couple of decades to provide support for endoscopists to analyze the images. In this paper, a survey on different image processing techniques and machine learning approaches used for the accurate and quick examination of WCE images has been presented. The issues behind the computational approaches for processing WCE images and videos are also analyzed with future directions.

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Keywords
Gastrointestinal tract, esophagus, Computer Aided Diagnosis, Endoscopy.