Feature Ranking by Variational dropout for Classification Using Thermograms from Diabetic Foot Ulcers

This project contains the code implemented in the paper Feature Ranking by Variational dropout for Classification Using Thermograms from Diabetic Foot Ulcers. The data presented in the work are available on request. The data are not publicly available due to privacy restrictions.

Prerequisites

• Anaconda
• Git
• PyTorch
  • version 1.8.0 or above
• Scikit-learn
  • version 1.1.1 or above
• Matplotlib
• Pandas

Submodules

This repository contains the following submodules:

• Sparse

In order to download the submodules in the cloning process, use the following instruction:

git clone --recurse-submodules [repository url]

References

If you find our library useful in your research, please consider citing us:

@article{hernandez2023feature,
  title={Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers},
  author={Hernandez-Guedes, Abian and Arteaga-Marrero, Natalia and Villa, Enrique and Callico, Gustavo M and Ruiz-Alzola, Juan},
  journal={Sensors},
  volume={23},
  number={2},
  pages={757},
  year={2023},
  publisher={Multidisciplinary Digital Publishing Institute}
}