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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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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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Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation
Despite advances in intraoperative surgical imaging, reliable discrimination of critical tissue during surgery remains challenging. As …
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Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction
Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, …
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