A Survey on Medical Image Analysis in Capsule Endoscopy.
Journal:
Current medical imaging reviews
Published Date:
Jan 1, 2019
Abstract
BACKGROUND AND OBJECTIVE: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to conventional endoscopy procedure. However, CE produces 6 to 8 hrs long video posing a tedious challenge to a gastroenterologist for abnormality detection. Major challenges to an expert are lengthy videos, need of constant concentration and subjectivity of the abnormality. To address these challenges along with high diagnostic accuracy, design and development of automated abnormality detection system is a must. Machine learning and computer vision techniques are devised to develop such automated systems.