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Follow-up on: optimizing lesion detection in small bowel capsule endoscopy and beyond: from present problems to future solutions |
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| Authors: | Michael Vasilakakis Diana E Yung John N Plevris Ervin Toth Dimitris K Iakovidis |
| Affiliation: | 1. Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece;2. Endoscopy Unit, The Royal Infirmary of Edinburgh, Edinburgh, Scotland;3. Department of Clinical Sciences, Lund University, Malm?, Sweden;4. Section of Gastroenterology, Department of Clinical Sciences, Sk?ne University Hospital Malm?, Malm?, Sweden |
| Abstract: | Introduction: This review presents noteworthy advances in clinical and experimental Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 years since our previous review on the subject. Areas covered: This study presents the commercially available CE platforms, as well as the advances made in optimizing the diagnostic capabilities of CE. The latter includes recent concept and prototype capsule endoscopes, medical approaches to improve diagnostic yield, and progress in software for enhancing visualization, abnormality detection, and lesion localization. Expert commentary: Currently, moving through the second decade of CE evolution, there are still several open issues and remarkable challenges to overcome. |
| Keywords: | Capsule endoscopy diagnostic yield detection small bowel endoscopy algorithm engineering |