ArticleInternational journal of intelligent robotics and applications2017
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots.
Article in International journal of intelligent robotics and applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Magnetic-Controlled Microrobot: Real-Time Detection and Tracking through Deep Learning Approaches.Micromachines · 2024Article
- Magnetically driven capsules with multimodal response and multifunctionality for biomedical applications.Nature communications · 2024Article
- Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning.Scientific reports · 2022Article
- Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation.Nature machine intelligence · 2020Article
- Adaptive Dynamic Control for Magnetically Actuated Medical Robots.IEEE robotics and automation letters · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
A reliable, real time localization functionality is crutial for actively controlled capsule endoscopy robots, which are an emerging, minimally invasive diagnostic and therapeutic technology for the gastrointestinal (GI) tract. In this study, we extend the success of deep learning approaches from various research fields to the problem of sensor fusion for endoscopic capsule robots. We propose a multi-sensor fusion based localization approach which combines endoscopic camera information and magnetic sensor based localization information. The results performed on real pig stomach dataset show that our method achieves sub-millimeter precision for both translational and rotational movements.
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Registered trials
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