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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107708
Abstract: Abstract In this paper, we propose a distributed data collection algorithm for robotic networks, which exploits the integration between compressed sensing (CS) and collaboration of mobile robots. Based on the fact that the mobile robots…
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Keywords:
energy efficient;
efficient sensing;
sensing robotic;
number ... See more keywords
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Published in 2024 at "Respiration"
DOI: 10.1159/000538132
Abstract: Abstract Introduction: Lung cancer remains the leading cause of cancer death worldwide. Subsolid nodules (SSN), including ground-glass nodules (GGNs) and part-solid nodules (PSNs), are slow-growing but have a higher risk for malignancy. Therefore, timely diagnosis…
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Keywords:
cttb;
sensing robotic;
robotic assisted;
shape sensing ... See more keywords
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Published in 2024 at "Respiration"
DOI: 10.1159/000546591
Abstract: Abstract Introduction: Shape-sensing robotic-assisted bronchoscopy (ssRAB) is an emerging approach in Europe to diagnose peripheral pulmonary nodules (PPNs). There are limited data on how quickly this new technology can be learned. Methods: This study presents…
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Keywords:
sensing robotic;
analysis;
robotic assisted;
shape sensing ... See more keywords
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Published in 2024 at "Diagnostics"
DOI: 10.3390/diagnostics14171955
Abstract: Background: Computed tomography to body divergence (CTBD) is one of the main barriers to bronchoscopic techniques for the diagnosis of peripherally located lung nodules. Cone-beam CT (CBCT) guidance is being rapidly adopted to correct for…
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Keywords:
guidance;
sensing robotic;
diagnostic yield;
shape sensing ... See more keywords