Laparoscopic cholecystectomy: Our experience in a rural setup
Medical Journal of Dr. D.Y. Patil University, 2014 Background: Laparoscopic cholecystectomy has become the gold standard in symptomatic gallstone disease. Today more than 80% of cholecystectomies worldwide are carried out laparoscopically.
P N Sreeramulu, Vijay P Agrawal
doaj +1 more source
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis [PDF]
arXiv, 2017 Computer-assisted surgery (CAS) aims to provide the surgeon with the right type of assistance at the right moment. Such assistance systems are especially relevant in laparoscopic surgery, where CAS can alleviate some of the drawbacks that surgeons incur. For many assistance functions, e.g.
arxiv
The International Journal of Medical Robotics and Computer Assisted Surgery, Volume 21, Issue 2, April 2025.ABSTRACT Background Choledochal cysts are congenital anomalies requiring surgical intervention, typical excision and hepaticojejunostomy. The da Vinci single‐port (SP) robotic system offers a minimally invasive approach with potential benefits for paediatric patients.
Eunyoung Jung
wiley +1 more source
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos [PDF]
arXiv, 2016 Surgical workflow recognition has numerous potential medical applications, such as the automatic indexing of surgical video databases and the optimization of real-time operating room scheduling, among others. As a result, phase recognition has been studied in the context of several kinds of surgeries, such as cataract, neurological, and laparoscopic ...
arxiv
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation [PDF]
arXivLabeling has always been expensive in the medical context, which has hindered related deep learning application. Our work introduces active learning in surgical video frame selection to construct a high-quality, affordable Laparoscopic Cholecystectomy dataset for semantic segmentation.
arxiv
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks [PDF]
arXiv, 2019 We propose a new multilabel classifier, called LapTool-Net to detect the presence of surgical tools in each frame of a laparoscopic video. The novelty of LapTool-Net is the exploitation of the correlation among the usage of different tools and, the tools and tasks - namely, the context of the tools' usage.
arxiv
Neural Fields for 3D Tracking of Anatomy and Surgical Instruments in Monocular Laparoscopic Video Clips [PDF]
arXivLaparoscopic video tracking primarily focuses on two target types: surgical instruments and anatomy. The former could be used for skill assessment, while the latter is necessary for the projection of virtual overlays. Where instrument and anatomy tracking have often been considered two separate problems, in this paper, we propose a method for joint ...
arxiv
Prospective audit of the introduction of laparoscopic cholecystectomy in the west of Scotland. West of Scotland Laparoscopic Cholecystectomy Audit Group. [PDF]
, 1994 G Fullarton, George Bell
openalex +1 more source
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
End‐tidal carbon dioxide tension during laparoscopic cholecystectomy [PDF]
, 1994 A Baraka +6 more
openalex +1 more source