Frontiers of robotic colonoscopy: A comprehensive review of robotic colonoscopes and technologies
Flexible colonoscopy remains the prime mean of screening for colorectal cancer (CRC) and
the gold standard of all population-based screening pathways around the world. Almost …
the gold standard of all population-based screening pathways around the world. Almost …
The future of endoscopic navigation: a review of advanced endoscopic vision technology
Z Fu, Z Jin, C Zhang, Z He, Z Zha, C Hu, T Gan… - IEEE …, 2021 - ieeexplore.ieee.org
Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …
significance in providing a low risk of postoperative complications, limited blood loss, short …
Unsupervised reverse domain adaptation for synthetic medical images via adversarial training
To realize the full potential of deep learning for medical imaging, large annotated datasets
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
Self-supervised monocular depth and ego-motion estimation in endoscopy: Appearance flow to the rescue
Recently, self-supervised learning technology has been applied to calculate depth and ego-
motion from monocular videos, achieving remarkable performance in autonomous driving …
motion from monocular videos, achieving remarkable performance in autonomous driving …
Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints
D Recasens, J Lamarca, JM Fácil… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Estimating a scene reconstruction and the camera motion from in-body videos is challenging
due to several factors, eg the deformation of in-body cavities or the lack of texture. In this …
due to several factors, eg the deformation of in-body cavities or the lack of texture. In this …
Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy
A Rau, PJE Edwards, OF Ahmad, P Riordan… - International journal of …, 2019 - Springer
Purpose Colorectal cancer is the third most common cancer worldwide, and early
therapeutic treatment of precancerous tissue during colonoscopy is crucial for better …
therapeutic treatment of precancerous tissue during colonoscopy is crucial for better …
Dense depth estimation in monocular endoscopy with self-supervised learning methods
We present a self-supervised approach to training convolutional neural networks for dense
depth estimation from monocular endoscopy data without a priori modeling of anatomy or …
depth estimation from monocular endoscopy data without a priori modeling of anatomy or …
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …
from medical images with reliability, accuracy, and speed, which is already transforming …
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy
Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second
leading cause in the United States. The risk of colorectal cancer can be mitigated by the …
leading cause in the United States. The risk of colorectal cancer can be mitigated by the …
Augmented reality guided laparoscopic surgery of the uterus
A major research area in Computer Assisted Intervention (CAI) is to aid laparoscopic surgery
teams with Augmented Reality (AR) guidance. This involves registering data from other …
teams with Augmented Reality (AR) guidance. This involves registering data from other …