[HTML][HTML] Machine learning for surgical phase recognition: a systematic review
CR Garrow, KF Kowalewski, L Li, M Wagner… - Annals of …, 2021 - journals.lww.com
Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …
surgical phase recognition. Background: Phase recognition identifies different steps and …
Machine and deep learning for workflow recognition during surgery
N Padoy - Minimally Invasive Therapy & Allied Technologies, 2019 - Taylor & Francis
Recent years have seen tremendous progress in artificial intelligence (AI), such as with the
automatic and real-time recognition of objects and activities in videos in the field of computer …
automatic and real-time recognition of objects and activities in videos in the field of computer …
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …
challenging tasks in surgical video analysis as well as very essential components in various …
Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach
D Kitaguchi, N Takeshita, H Matsuzaki, H Takano… - Surgical …, 2020 - Springer
Background Automatic surgical workflow recognition is a key component for develo** the
context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical …
context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical …
Impact of data on generalization of AI for surgical intelligence applications
AI is becoming ubiquitous, revolutionizing many aspects of our lives. In surgery, it is still a
promise. AI has the potential to improve surgeon performance and impact patient care, from …
promise. AI has the potential to improve surgeon performance and impact patient care, from …
Video content analysis of surgical procedures
C Loukas - Surgical endoscopy, 2018 - Springer
Background In addition to its therapeutic benefits, minimally invasive surgery offers the
potential for video recording of the operation. The videos may be archived and used later for …
potential for video recording of the operation. The videos may be archived and used later for …
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
S Bodenstedt, M Wagner, L Mündermann… - International Journal of …, 2019 - Springer
Purpose The course of surgical procedures is often unpredictable, making it difficult to
estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical …
estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical …
Assisted phase and step annotation for surgical videos
Purpose Annotation of surgical videos is a time-consuming task which requires specific
knowledge. In this paper, we present and evaluate a deep learning-based method that …
knowledge. In this paper, we present and evaluate a deep learning-based method that …
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
In order to provide the right type of assistance at the right time, computer-assisted surgery
systems need context awareness. To achieve this, methods for surgical workflow analysis …
systems need context awareness. To achieve this, methods for surgical workflow analysis …
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
S Bodenstedt, M Wagner, D Katić, P Mietkowski… - arxiv preprint arxiv …, 2017 - arxiv.org
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 …
assistance at the right moment. Such assistance systems are especially relevant in …