Journal
CLINICAL ENDOSCOPY
Volume 51, Issue 6, Pages 547-551Publisher
KOREAN SOC GASTROINTESTINAL ENDOSCOPY
DOI: 10.5946/ce.2018.173
Keywords
Capsule endoscopy; Deep learning; Artificial intelligence; Lesion detection
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Funding
- Korean government [GK18P0200]
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Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist to review the operation and examine the lesions. To reduce the tedious review time and increase the accuracy of medical examinations, various approaches have been reported based on artificial intelligence for computer-aided diagnosis. Recently, deep learning-based approaches have been applied to many possible areas, showing greatly improved performance, especially for image-based recognition and classification. By reviewing recent deep learning-based approaches for clinical applications, we present the current status and future direction of artificial intelligence for capsule endoscopy.
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