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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Autores principales: Sheng-Yang Yen, Hao-En Huang, Gi-Shih Lien, Chih-Wen Liu, Chia-Feng Chu, Wei-Ming Huang, Fat-Moon Suk
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8e26ad4b67144afba13eb517355a32fd
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