Automatic instrument segmentation in robot-assisted surgery using deep learning
Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …
surgery. One of the main challenges is to correctly detect an instrument's position for the …
A review on deep learning in minimally invasive surgery
I Rivas-Blanco, CJ Perez-Del-Pulgar… - IEEE …, 2021 - ieeexplore.ieee.org
In the last five years, deep learning has attracted great interest in computer-assisted systems
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …
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 …
Computer vision in surgery
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …
advancements in the past decade, many of which have been applied to the analysis of …
Raunet: Residual attention u-net for semantic segmentation of cataract surgical instruments
Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery.
However, accurate segmentation of cataract surgical instruments is still a challenge due to …
However, accurate segmentation of cataract surgical instruments is still a challenge due to …
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
H Al Hajj, M Lamard, PH Conze, S Roychowdhury… - Medical image …, 2019 - Elsevier
Surgical tool detection is attracting increasing attention from the medical image analysis
community. The goal generally is not to precisely locate tools in images, but rather to …
community. The goal generally is not to precisely locate tools in images, but rather to …
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry
Background and objective: Surgical tool detection, segmentation, and 3D pose estimation
are crucial components in Computer-Assisted Laparoscopy (CAL). The existing frameworks …
are crucial components in Computer-Assisted Laparoscopy (CAL). The existing frameworks …
SurgiNet: Pyramid attention aggregation and class-wise self-distillation for surgical instrument segmentation
Surgical instrument segmentation plays a promising role in robot-assisted surgery. However,
illumination issues often appear in surgical scenes, altering the color and texture of surgical …
illumination issues often appear in surgical scenes, altering the color and texture of surgical …
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 …
Towards better surgical instrument segmentation in endoscopic vision: Multi-angle feature aggregation and contour supervision
Accurate and real-time surgical instrument segmentation is important in the endoscopic
vision of robot-assisted surgery, and significant challenges are posed by frequent instrument …
vision of robot-assisted surgery, and significant challenges are posed by frequent instrument …