Deep-Learning-Assisted Volume Visualization.

ABSTRACT: Designing volume visualizations showing various structures of interest is critical to the exploratory analysis of volumetric data. The last few years have witnessed dramatic advances in the use of convolutional neural networks for identification of objects in large image collections. Whereas such machine learning methods have shown superior performance in a number of applications, their direct use in volume visualization has not yet been explored. In this paper, we present a deep-learning-assisted volume visualization to depict complex structures, which are otherwise challenging for conventional approaches. A significant challenge in designing volume visualizations based on the high-dimensional deep features lies in efficiently handling the immense amount of information that deep-learning

SUBMITTER: Cheng HC 

PROVIDER: S-EPMC8369530 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature