Artificial intelligence and automation in endoscopy and surgery

F Chadebecq, LB Lovat, D Stoyanov - … Reviews Gastroenterology & …, 2023‏ - nature.com
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Surgical tool datasets for machine learning research: a survey

M Rodrigues, M Mayo, P Patros - International Journal of Computer Vision, 2022‏ - Springer
This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …

SimPS-net: simultaneous pose and segmentation network of surgical tools

S Souipas, A Nguyen, SG Laws… - … on Medical Robotics …, 2023‏ - ieeexplore.ieee.org
Localisation of surgical tools during operation is of paramount importance in the context of
robotic assisted surgery. 3D pose estimation can be utilised to explore the interaction of …

Evaluation of single-stage vision models for pose estimation of surgical instruments

W Burton, C Myers, M Rutherford… - International Journal of …, 2023‏ - Springer
Purpose Multiple applications in open surgical environments may benefit from adoption of
markerless computer vision depending on associated speed and accuracy requirements …

SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking

Z Wu, A Schmidt, R Moore, H Zhou, A Banks… - arxiv preprint arxiv …, 2025‏ - arxiv.org
Accurate and efficient surgical robotic tool pose estimation is of fundamental significance to
downstream applications such as augmented reality (AR) in surgical training and learning …

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

J Park, J Hong, J Yoon, B Park, MK Choi… - … Conference on Medical …, 2024‏ - Springer
Accurate pose estimation of surgical instruments is crucial for analyzing robotic surgery
videos using computer vision techniques. However, the scarcity of suitable public datasets …

[PDF][PDF] Hierarchical, informed and robust machine learning for surgical tool management

MW Rodrigues - 2023‏ - researchcommons.waikato.ac.nz
This thesis focuses on the development of a computer vision and deep learning based
system for the intelligent management of surgical tools. The work accomplished included the …

SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools

S Souipas, A Nguyen, S Laws… - EPiC Series in …, 2024‏ - livrepository.liverpool.ac.uk
The ability to detect and localise surgical tools using RGB cameras during robotic assisted
surgery can allow for the development of various implementations, such as vision-based …

[PDF][PDF] Towards Efficient Human Activity Recognition.

O Köpüklü - 2022‏ - researchgate.net
The amount of generated video data grows at ever-increasing rates dominating the majority
of internet traffic. Therefore, the ability to automatically analyze video data effectively and …