Recent advancements in surgical computer vision applications have been d...
Automatic recognition of fine-grained surgical activities, called steps,...
Formalizing surgical activities as triplets of the used instruments, act...
Objective: To develop and validate a deep learning model for the
identif...
Artificial intelligence is set to be deployed in operating rooms to impr...
Assessing the critical view of safety in laparoscopic cholecystectomy
re...
Context-aware decision support in the operating room can foster surgical...
Searching through large volumes of medical data to retrieve relevant
inf...
A major obstacle to building models for effective semantic segmentation,...
Out of all existing frameworks for surgical workflow analysis in endosco...
Minimally invasive image-guided surgery heavily relies on vision. Deep
l...
Purpose: Automatic segmentation and classification of surgical activity ...
Deep neural networks power most recent successes of artificial intellige...
Recognition of surgical activity is an essential component to develop
co...