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

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 alignmen...

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Detalles Bibliográficos
Autores principales: Yen, Sheng-Yang, Huang, Hao-En, Lien, Gi-Shih, Liu, Chih-Wen, Chu, Chia-Feng, Huang, Wei-Ming, Suk, Fat-Moon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979719/
https://www.ncbi.nlm.nih.gov/pubmed/33742067
http://dx.doi.org/10.1038/s41598-021-86101-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979719/
https://www.ncbi.nlm.nih.gov/pubmed/33742067
http://dx.doi.org/10.1038/s41598-021-86101-9

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