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KMID : 1038120180510060547
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Clinical Endoscopy
2018 Volume.51 No. 6 p.547 ~ p.551
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Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
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Hwang Young-Bae
Park Jun-Seok
Lim Yun-Jeong
Chun Hoon-Jai
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Abstract
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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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KEYWORD
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Capsule endoscopy, Deep learning, Artificial intelligence, Lesion detection
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