Automatic lumen detection and magnetic alignment control for magnetic-assisted capsule colonoscope system optimization

Abstract We developed a magnetic-assisted capsule colonoscope system with integration of computer vision-based object detection and an alignment control scheme. Two convolutional neural network models A and B for lumen identification were trained on an endoscopic dataset of 9080 images. In the lumen...

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Bibliographic Details
Main Authors: Sheng-Yang Yen, Hao-En Huang, Gi-Shih Lien, Chih-Wen Liu, Chia-Feng Chu, Wei-Ming Huang, Fat-Moon Suk
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-86101-9

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