Vision-based and marker-less surgical tool detection and tracking: a review of the literature

D Bouget, M Allan, D Stoyanov, P Jannin - Medical image analysis, 2017 - Elsevier
In recent years, tremendous progress has been made in surgical practice for example with
Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to …

The future of endoscopic navigation: a review of advanced endoscopic vision technology

Z Fu, Z **, C Zhang, Z He, Z Zha, C Hu, T Gan… - IEEE …, 2021 - ieeexplore.ieee.org
Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

Content-based processing and analysis of endoscopic images and videos: A survey

B Münzer, K Schoeffmann, L Böszörmenyi - Multimedia Tools and …, 2018 - Springer
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …

[HTML][HTML] Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art

T Rueckert, D Rueckert, C Palm - Computers in Biology and Medicine, 2024 - Elsevier
In the field of computer-and robot-assisted minimally invasive surgery, enormous progress
has been made in recent years based on the recognition of surgical instruments in …

EVA: laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment

I Oropesa, P Sánchez-González, MK Chmarra… - Surgical …, 2013 - Springer
Abstract Introduction The EVA (Endoscopic Video Analysis) tracking system is a new system
for extracting motions of laparoscopic instruments based on nonobtrusive video tracking …

Robotic endoscope control via autonomous instrument tracking

C Gruijthuijsen, LC Garcia-Peraza-Herrera… - Frontiers in Robotics …, 2022 - frontiersin.org
Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the
main surgeon to rely on a second surgeon to act as a camera assistant. In addition to the …

Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method

Z Zhao, S Voros, Y Weng, F Chang… - Computer Assisted …, 2017 - Taylor & Francis
Background: Worldwide propagation of minimally invasive surgeries (MIS) is hindered by
their drawback of indirect observation and manipulation, while monitoring of surgical …

[HTML][HTML] Workflow mining and outlier detection from clinical activity logs

L Bouarfa, J Dankelman - Journal of biomedical informatics, 2012 - Elsevier
PURPOSE: The purpose of this study is twofold:(1) to derive a workflow consensus from
multiple clinical activity logs and (2) to detect workflow outliers automatically and without …

Self-supervised surgical tool segmentation using kinematic information

C da Costa Rocha, N Padoy… - … Conference on Robotics …, 2019 - ieeexplore.ieee.org
Surgical tool segmentation in endoscopic images is the first step towards pose estimation
and (sub-) task automation in challenging minimally invasive surgical operations. While …

The intelligent OR: design and validation of a context-aware surgical working environment

S Franke, M Rockstroh, M Hofer, T Neumuth - International Journal of …, 2018 - Springer
Purpose Interoperability of medical devices based on standards starts to establish in the
operating room (OR). Devices share their data and control functionalities. Yet, the OR …