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Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study
Purpose. Robot-assisted ultrasound (rUS) systems have already been used to provide non-radiative three-dimensional (3D) reconstructions …
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Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical …
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Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
In this work, we investigate laparoscopic camera motion automation through imitation learning from retrospective videos of laparoscopic …
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Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB)
Visual discrimination of clinical tissue types remains challenging, with traditional RGB imaging providing limited contrast for such …
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Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset
Endoscopic content area refers to the informative area enclosed by the dark, non-informative, border regions present in most endoscopic …
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Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging
Hyperspectral imaging has the potential to improve intraoperative decision making if tissue characterisation is performed in real-time …
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Synthetic white balancing for intra-operative hyperspectral imaging
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For …
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Intraoperative tissue classification methods in orthopedic and neurological surgeries: a systematic review
Accurate tissue differentiation during orthopedic and neurological surgeries is critical, given that such surgeries involve operations …
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Robotic Endoscope Control Via Autonomous Instrument Tracking
Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to …
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Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction
Current laparoscopic camera motion automation relies on rule-based approaches or only focuses on surgical tools. Imitation Learning …
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