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Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally
invasive surgeries (MIS) represents a significant advancement in surgical technology. This …
invasive surgeries (MIS) represents a significant advancement in surgical technology. This …
Medical image segmentation using deep neural networks with pre-trained encoders
With the growth of popularity of deep neural networks for image analysis, segmentation is
the most common subject of studies applying deep learning to medical imaging and …
the most common subject of studies applying deep learning to medical imaging and …
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 …
Rethinking surgical instrument segmentation: A background image can be all you need
Data diversity and volume are crucial to the success of training deep learning models, while
in the medical imaging field, the difficulty and cost of data collection and annotation are …
in the medical imaging field, the difficulty and cost of data collection and annotation are …
Verge in vbs 2024
This paper presents VERGE, an interactive video content retrieval system designed for
browsing a collection of images extracted from videos and conducting targeted content …
browsing a collection of images extracted from videos and conducting targeted content …
Towards real-time multiple surgical tool tracking
Surgical tool tracking is an essential building block for computer-assisted interventions (CAI)
and applications like video summarisation, workflow analysis and surgical navigation. Vision …
and applications like video summarisation, workflow analysis and surgical navigation. Vision …
A holistically-nested U-Net: Surgical instrument segmentation based on convolutional neural network
L Yu, P Wang, X Yu, Y Yan, Y **a - Journal of digital imaging, 2020 - Springer
Surgical instrument segmentation is an essential task in the domain of computer-assisted
surgical system. It is critical to increase the context-awareness of surgeons during the …
surgical system. It is critical to increase the context-awareness of surgeons during the …
Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency
Relative monocular depth, inferring depth correct up to a shift and scale from a single image,
is an active research topic. Recent deep learning models, trained on large and varied meta …
is an active research topic. Recent deep learning models, trained on large and varied meta …
Reducing Workload during Brain Surgery with Robot-Assisted Autonomous Exoscope
In this paper, a position-based visual-servoing control approach is introduced for a robotic
camera holder to improve ergonomics and reduce mental stress during brain surgery. The …
camera holder to improve ergonomics and reduce mental stress during brain surgery. The …
Towards real-time tool tracking for autonomous exoscope control
D Cattaneo - 2022 - politesi.polimi.it
Exoscopes represent a promising 3D visual solution in the neurosurgical field aimed at
offering an improved field of view and ergonomics to the surgeons compared with traditional …
offering an improved field of view and ergonomics to the surgeons compared with traditional …