Anticipation for surgical workflow through instrument interaction and recognized signals
Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI)
systems. It aims at predicting the future surgical phase and instrument occurrence, providing …
systems. It aims at predicting the future surgical phase and instrument occurrence, providing …
Surgical workflow anticipation using instrument interaction
Surgical workflow anticipation, including surgical instrument and phase anticipation, is
essential for an intra-operative decision-support system. It deciphers the surgeon's …
essential for an intra-operative decision-support system. It deciphers the surgeon's …
Towards graph representation learning based surgical workflow anticipation
X Zhang, N Al Moubayed… - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Surgical workflow anticipation can give predictions on what steps to conduct or what
instruments to use next, which is an essential part of the computer-assisted intervention …
instruments to use next, which is an essential part of the computer-assisted intervention …
Multitask learning of temporal connectionism in convolutional networks using a joint distribution loss function to simultaneously identify tools and phase in surgical …
Surgical workflow analysis is of importance for understanding onset and persistence of
surgical phases and individual tool usage across surgery and in each phase. It is beneficial …
surgical phases and individual tool usage across surgery and in each phase. It is beneficial …
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis
Surgical workflow analysis aims to recognise surgical phases from untrimmed surgical
videos. It is an integral component for enabling context-aware computer-aided surgical …
videos. It is an integral component for enabling context-aware computer-aided surgical …
Supr-Gan: surgical prediction GAN for event anticipation in laparoscopic and robotic surgery
Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI)
and machine learning (ML) holds the potential to assist intraoperative decision making and …
and machine learning (ML) holds the potential to assist intraoperative decision making and …
LRTD: Long-range temporal dependency based active learning for surgical workflow recognition
Purpose Automatic surgical workflow recognition in video is an essentially fundamental yet
challenging problem for developing computer-assisted and robotic-assisted surgery …
challenging problem for developing computer-assisted and robotic-assisted surgery …
Surgical workflow recognition using two-stream mixed convolution network
Surgical workflow recognition is the prerequisite for automatic indexing of surgical video
databases and optimization of real-time operating scheduling, which is an important part of …
databases and optimization of real-time operating scheduling, which is an important part of …
Temporal segmentation of surgical sub-tasks through deep learning with multiple data sources
Many tasks in robot-assisted surgeries (RAS) can be represented by finite-state machines
(FSMs), where each state represents either an action (such as picking up a needle) or an …
(FSMs), where each state represents either an action (such as picking up a needle) or an …
Trans-svnet: hybrid embedding aggregation transformer for surgical workflow analysis
Purpose Real-time surgical workflow analysis has been a key component for computer-
assisted intervention system to improve cognitive assistance. Most existing methods solely …
assisted intervention system to improve cognitive assistance. Most existing methods solely …