Deep learning based image processing for robot assisted surgery: a systematic literature survey
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …
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 …
Experimental Evaluation of a 3-Armed 6-DOF Parallel Robot for Femur Fracture Surgery
F Alruwaili, MS Saeedi-Hosseiny, M Clancy… - Journal of Medical …, 2022 - World Scientific
This paper presents the experimental position and force testing of a 3-armed 6-DOF Parallel
Robot, Robossis, that is specifically designed for the application of long-bone femur fracture …
Robot, Robossis, that is specifically designed for the application of long-bone femur fracture …
Automatic detection of out-of-body frames in surgical videos for privacy protection using self-supervised learning and minimal labels
Endoscopic video recordings are widely used in minimally invasive robot-assisted surgery,
but when the endoscope is outside the patient's body, it can capture irrelevant segments that …
but when the endoscope is outside the patient's body, it can capture irrelevant segments that …
Transfer learning for surgical instrument segmentation in open surgery videos: a modified u-net approach with channel amplification
K Bakiya, N Savarimuthu - Signal, Image and Video Processing, 2024 - Springer
Minimally invasive surgeries reduce blood loss and quicker recovery times for patients
compared to open surgeries. Equipped with high-definition 3D cameras, robotic surgical …
compared to open surgeries. Equipped with high-definition 3D cameras, robotic surgical …
Iterative Morphological Training Set Decomposition for Endoscopic Tool Segmentation
Y Zhu, X Wu, S Tan, C Sun, S Saha… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper proposes a modified method for training tool segmentation networks for
endoscopic images by parsing training images into two disjoint sets: one for rectangular …
endoscopic images by parsing training images into two disjoint sets: one for rectangular …
A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding
Y Zhu, B Hudson, C Chakraborttii… - 2023 IEEE/SICE …, 2023 - ieeexplore.ieee.org
This paper presents and evaluates three automated tools for semantically segmenting
images from marble-burying experiments. The marble-burying animal model is widely used …
images from marble-burying experiments. The marble-burying animal model is widely used …
Explainable deep learning for medical image processing: computer-aided diagnosis and robot-assisted surgery.
SM Hussain - 2023 - tesidottorato.depositolegale.it
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …