Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images

@article{Huang2021InteractiveVS,
  title={Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images},
  author={Xinyi Huang and Suphanut Jamonnak and Ye Zhao and Boyu Wang and Minh Hoai and K. Yager and Wei Xu},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2021},
  volume={27},
  pages={1312-1321}
}
  • Xinyi Huang, Suphanut Jamonnak, +4 authors Wei Xu
  • Published 2021
  • Computer Science, Medicine
  • IEEE Transactions on Visualization and Computer Graphics
  • Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images. However, visual analytics tools are lacking for the specific application of x-ray image classification with multiple structural attributes. In this paper, we present an interactive system for domain scientists to visually study the multiple attributes learning models applied to x-ray scattering images. It allows domain… CONTINUE READING

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