Results 21 to 25 of about 79,183 (25)
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery [PDF]
arXivIn laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations for tool instance segmentation.
arxiv
Investigating the Impact of Age and Sex on Cataract Surgery Complications and Outcomes [PDF]
arXivBackground/Objectives: Cataract surgery, a very common and critical procedure for restoring vision, has outcomes that can vary based on patient demographics. This study aimed to elucidate the effects of age and sex on the risk factors, intraoperative complications, and postoperative outcomes of cataract surgery.
arxiv
VISAGE: Video Synthesis using Action Graphs for Surgery [PDF]
arXivSurgical data science (SDS) is a field that analyzes patient data before, during, and after surgery to improve surgical outcomes and skills. However, surgical data is scarce, heterogeneous, and complex, which limits the applicability of existing machine learning methods.
arxiv
Excluding cosmetic surgeries on hyperbolic 3-manifolds [PDF]
arXivThis paper employs knot invariants and results from hyperbolic geometry to develop a practical procedure for checking the cosmetic surgery conjecture on any given one-cusped manifold. This procedure has been used to establish the following computational results.
arxiv
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom [PDF]
arXivImproved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automated data driven metrics can alleviate these difficulties, as demonstrated by existing machine learning instrument tracking models in minimally invasive surgery. However, these
arxiv