A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics

Tobias Haueise, Annika Liebgott, Bin Yang 0009. A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 541-544, IEEE, 2022. [doi]

@inproceedings{HaueiseLY22,
  title = {A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics},
  author = {Tobias Haueise and Annika Liebgott and Bin Yang 0009},
  year = {2022},
  doi = {10.1109/EMBC48229.2022.9871257},
  url = {https://doi.org/10.1109/EMBC48229.2022.9871257},
  researchr = {https://researchr.org/publication/HaueiseLY22},
  cites = {0},
  citedby = {0},
  pages = {541-544},
  booktitle = {44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-2782-8},
}