High efficiency video coding (HEVC)–based surgical telementoring system using shallow convolutional neural network
Surgical telementoring systems have gained lots of interest, especially in remote locations.
However, bandwidth constraint has been the primary bottleneck for efficient telementoring …
However, bandwidth constraint has been the primary bottleneck for efficient telementoring …
Region-of-interest video coding for enabling surgical telementoring in low-bandwidth scenarios
S Khire, S Robertson, N Jayant… - MILCOM 2012-2012 …, 2012 - ieeexplore.ieee.org
Surgical telementoring can prove very effective in a military surgical paradigm where less
experienced surgeons deployed at forward sites can be mentored by more experienced …
experienced surgeons deployed at forward sites can be mentored by more experienced …
Segmentation of surgical instruments in laparoscopic videos: training dataset generation and deep-learning-based framework
Surgical instrument segmentation in laparoscopic image sequences can be utilized for a
variety of applications during surgical procedures. Recent studies have shown that deep …
variety of applications during surgical procedures. Recent studies have shown that deep …
m2caiseg: Semantic segmentation of laparoscopic images using convolutional neural networks
Autonomous surgical procedures, in particular minimal invasive surgeries, are the next
frontier for Artificial Intelligence research. However, the existing challenges include precise …
frontier for Artificial Intelligence research. However, the existing challenges include precise …
U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images
With the advent of robot-assisted surgery, there has been a paradigm shift in medical
technology for minimally invasive surgery. However, it is very challenging to track the …
technology for minimally invasive surgery. However, it is very challenging to track the …
MSDE-net: A multi-scale dual-encoding network for surgical instrument segmentation
Minimally invasive surgery, which relies on surgical robots and microscopes, demands
precise image segmentation to ensure safe and efficient procedures. Nevertheless …
precise image segmentation to ensure safe and efficient procedures. Nevertheless …
LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation
Y Yin, S Luo, J Zhou, L Kang, CYC Chen - Neural Networks, 2024 - Elsevier
Medical image segmentation is fundamental for modern healthcare systems, especially for
reducing the risk of surgery and treatment planning. Transanal total mesorectal excision …
reducing the risk of surgery and treatment planning. Transanal total mesorectal excision …
A fast unsupervised approach for multi-modality surgical trajectory segmentation
To improve the efficiency of surgical trajectory segmentation for surgical assessment and
robot learning in robot-assisted minimally invasive surgery, this paper presents a fast …
robot learning in robot-assisted minimally invasive surgery, this paper presents a fast …
A holistically-nested U-net: surgical instrument segmentation based on convolutional neural network
L Yu, P Wang, X Yu, Y Yan, Y Xia - 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 …
Exploring intra-and inter-video relation for surgical semantic scene segmentation
Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence
in the modern operating theatre. Previous works rely on conventional aggregation modules …
in the modern operating theatre. Previous works rely on conventional aggregation modules …