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 …
has been made in recent years based on the recognition of surgical instruments in …
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
Accurate identification and localization of anatomical structures of varying size and
appearance in laparoscopic imaging are necessary to leverage the potential of computer …
appearance in laparoscopic imaging are necessary to leverage the potential of computer …
Enhanced U-Net with GridMask (EUGNet): A Novel Approach for Robotic Surgical Tool Segmentation
M Daneshgar Rahbar, SZ Mousavi Mojab - Journal of Imaging, 2023 - mdpi.com
This study proposed enhanced U-Net with GridMask (EUGNet) image augmentation
techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study …
techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study …
Towards surgical context inference and translation to gestures
Manual labeling of gestures in robot-assisted surgery is labor intensive, prone to errors, and
requires expertise or training. We propose a method for automated and explainable …
requires expertise or training. We propose a method for automated and explainable …
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
Surgical context inference has recently garnered significant attention in robot-assisted
surgery as it can facilitate workflow analysis, skill assessment, and error detection. However …
surgery as it can facilitate workflow analysis, skill assessment, and error detection. However …
UMInSe: An Unsupervised Method for Segmentation and Detection of Surgical Instruments based on K-means
RE Arevalo-Ancona, D Haro-Mendoza… - Revista Mexicana de …, 2024 - rmib.com.mx
Surgical instrument segmentation in images is crucial for improving precision and efficiency
in surgery, but it currently relies on costly and labor-intensive manual annotations. An …
in surgery, but it currently relies on costly and labor-intensive manual annotations. An …
Image Processing-Based Methods to Improve the Robustness of Robotic Gripping
Image processing techniques are having a huge impact on most fields of robotics and
industrial automation. Real-time methods are usually employed in complex automation …
industrial automation. Real-time methods are usually employed in complex automation …