[HTML][HTML] Machine learning for surgical phase recognition: a systematic review
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 …
Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis
Background In the past decade, deep learning has revolutionized medical image
processing. This technique may advance laparoscopic surgery. Study objective was to …
processing. This technique may advance laparoscopic surgery. Study objective was to …
Endonet: a deep architecture for recognition tasks on laparoscopic videos
Surgical workflow recognition has numerous potential medical applications, such as the
automatic indexing of surgical video databases and the optimization of real-time operating …
automatic indexing of surgical video databases and the optimization of real-time operating …
Computer vision in surgery
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …
advancements in the past decade, many of which have been applied to the analysis of …
Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach
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 …
Content-based processing and analysis of endoscopic images and videos: A survey
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …
and minimally invasive surgery. Since then, various research communities with manifold …
Deepphase: surgical phase recognition in cataracts videos
Automated surgical workflow analysis and understanding can assist surgeons to
standardize procedures and enhance post-surgical assessment and indexing, as well as …
standardize procedures and enhance post-surgical assessment and indexing, as well as …
Attitudes of patients and their relatives toward artificial intelligence in neurosurgery
Background Artificial intelligence (AI) may favorably support surgeons but can result in
concern among patients and their relatives. The aim of this study was to evaluate attitudes of …
concern among patients and their relatives. The aim of this study was to evaluate attitudes of …
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery
Context-aware segmentation of laparoscopic and robot assisted surgical video has been
shown to improve performance and perioperative workflow efficiency, and can be used for …
shown to improve performance and perioperative workflow efficiency, and can be used for …
Preference learning in assistive robotics: Observational repeated inverse reinforcement learning
B Woodworth, F Ferrari, TE Zosa… - Machine learning for …, 2018 - proceedings.mlr.press
As robots become more affordable and more common in everyday life, particularly in
assistive contexts, there will be an ever-increasing demand for adaptive behavior that is …
assistive contexts, there will be an ever-increasing demand for adaptive behavior that is …