The status of augmented reality in laparoscopic surgery as of 2016
This article establishes a comprehensive review of all the different methods proposed by the
literature concerning augmented reality in intra-abdominal minimally invasive surgery (also …
literature concerning augmented reality in intra-abdominal minimally invasive surgery (also …
State of the art in transfer functions for direct volume rendering
A central topic in scientific visualization is the transfer function (TF) for volume rendering.
The TF serves a fundamental role in translating scalar and multivariate data into color and …
The TF serves a fundamental role in translating scalar and multivariate data into color and …
[HTML][HTML] Corrosion detection and severity level prediction using acoustic emission and machine learning based approach
Failure caused by corrosion in industries are the major cause of breakdown maintenance.
Acoustic emission during the accelerated corrosion testing is a reliable method for corrosion …
Acoustic emission during the accelerated corrosion testing is a reliable method for corrosion …
Efficient volume exploration using the gaussian mixture model
The multidimensional transfer function is a flexible and effective tool for exploring volume
data. However, designing an appropriate transfer function is a trial-and-error process and …
data. However, designing an appropriate transfer function is a trial-and-error process and …
Hierarchical exploration of volumes using multilevel segmentation of the intensity-gradient histograms
CY Ip, A Varshney, J JaJa - IEEE Transactions on Visualization …, 2012 - ieeexplore.ieee.org
Visual exploration of volumetric datasets to discover the embedded features and spatial
structures is a challenging and tedious task. In this paper we present a semi-automatic …
structures is a challenging and tedious task. In this paper we present a semi-automatic …
Automatic transfer function generation using contour tree controlled residue flow model and color harmonics
J Zhou, M Takatsuka - IEEE Transactions on Visualization and …, 2009 - ieeexplore.ieee.org
Transfer functions facilitate the volumetric data visualization by assigning optical properties
to various data features and scalar values. Automation of transfer function specifications still …
to various data features and scalar values. Automation of transfer function specifications still …
Image-based TF colorization with CNN for direct volume rendering
S Kim, Y Jang, SE Kim - IEEE Access, 2021 - ieeexplore.ieee.org
In the direct volume rendering (DVR), it often takes a long time for a novice to manipulate the
transfer function (TF) and analyze the volume data. To lessen the difficulty in volume …
transfer function (TF) and analyze the volume data. To lessen the difficulty in volume …
[图书][B] Unsupervised learning: A dynamic approach
A new approach to unsupervised learning Evolving technologies have brought about an
explosion of information in recent years, but the question of how such information might be …
explosion of information in recent years, but the question of how such information might be …
Artificial bee colony approach to information granulation-based fuzzy radial basis function neural networks for image fusion
J Yu, H Duan - Optik-International Journal for Light and Electron Optics, 2013 - Elsevier
This paper mainly proposed a novel method of Artificial Bee Colony (ABC) optimized fuzzy
radial basis function neural networks with information granulation (IG-FRBFNNs) for solving …
radial basis function neural networks with information granulation (IG-FRBFNNs) for solving …
Machine learning on biomedical images: Interactive learning, transfer learning, class imbalance, and beyond
In this paper, we highlight three issues that limit performance of machine learning on
biomedical images, and tackle them through 3 case studies: 1) Interactive Machine Learning …
biomedical images, and tackle them through 3 case studies: 1) Interactive Machine Learning …