MT-FiST: a multi-task fine-grained spatial-temporal framework for surgical action triplet recognition
Surgical action triplet recognition plays a significant role in helping surgeons facilitate scene
analysis and decision-making in computer-assisted surgeries. Compared to traditional …
analysis and decision-making in computer-assisted surgeries. Compared to traditional …
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in endoscopic videos can
enable transformational interventions. Assessing surgical performance and efficiency …
enable transformational interventions. Assessing surgical performance and efficiency …
Analysing multi-perspective patient-related data during laparoscopic gynaecology procedures
Fusing data from different medical perspectives inside the operating room (OR) sets the
stage for developing intelligent context-aware systems. These systems aim to promote better …
stage for developing intelligent context-aware systems. These systems aim to promote better …
Laparoscopic video analysis using temporal, attention, and multi-feature fusion based-approaches
Adapting intelligent context-aware systems (CAS) to future operating rooms (OR) aims to
improve situational awareness and provide surgical decision support systems to medical …
improve situational awareness and provide surgical decision support systems to medical …
Robustness of convolutional neural networks for surgical tool classification in laparoscopic videos from multiple sources and of multiple types: A systematic evaluation
Deep learning approaches have been explored for surgical tool classification in
laparoscopic videos. Convolutional neural networks (CNN) are prominent among the …
laparoscopic videos. Convolutional neural networks (CNN) are prominent among the …
A comprehensive survey on recent deep learning-based methods applied to surgical data
Minimally invasive surgery is highly operator dependant with a lengthy procedural time
causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleeding …
causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleeding …
Surgivisor: Transformer-based semi-supervised instrument segmentation for endoscopic surgery
Precise instrument segmentation helps tracking of instruments in surgery. The most of the
existing instrument segmentation methods are fully supervised, which are based on 100 …
existing instrument segmentation methods are fully supervised, which are based on 100 …
P-CSEM: An Attention Module for Improved Laparoscopic Surgical Tool Detection
Minimal invasive surgery, more specifically laparoscopic surgery, is an active topic in the
field of research. The collaboration between surgeons and new technologies aims to …
field of research. The collaboration between surgeons and new technologies aims to …
A deep learning framework for recognising surgical phases in laparoscopic videos
Image-based surgical phase recognition is a fundamental component for developing context-
aware systems in future operating rooms (ORs) and thus enhance patient outcomes. To …
aware systems in future operating rooms (ORs) and thus enhance patient outcomes. To …
Future Perspectives of Deep Learning in Laparoscopic Tool Detection, Classification, and Segmentation: A Systematic Review
N Fernandes, E Oliveira… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
Background—Classification, detection, and segmentation of minimally invasive instruments
is an essential component for robotic-assisted surgeries and surgical skill assessments …
is an essential component for robotic-assisted surgeries and surgical skill assessments …