Real-time algorithms for automatically recognizing surgical phases are needed to develop
systems that can provide assistance to surgeons, enable better management of operating …

Automatic surgical phase recognition is a challenging and crucial task with the potential to
improve patient safety and become an integral part of intra-operative decision-support …

Online surgical phase recognition plays a significant role towards building contextual tools
that could quantify performance and oversee the execution of surgical workflows. Current …

Vision algorithms capable of interpreting scenes from a real-time video stream are
necessary for computer-assisted surgery systems to achieve context-aware behavior. In …

Phase recognition plays an essential role for surgical workflow analysis in computer
assisted intervention. Transformer, originally proposed for sequential data modelling in …

Background Automatic surgical workflow recognition is a key component for developing the
context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical …

Surgical phase recognition is of particular interest to computer assisted surgery systems, in
which the goal is to predict what phase is occurring at each frame for a surgery video …

Surgical phase recognition is a fundamental task in computer-assisted surgery systems.
Most existing works are under the supervision of expensive and time-consuming full …

Surgical workflow recognition has numerous potential medical applications, such as the
automatic indexing of surgical video databases and the optimization of real-time operating …

Background Surgical process modeling automatically identifies surgical phases, and further
improvement in recognition accuracy is expected with deep learning. Surgical tool or time …