Swin-PHOG-LPQ: An accurate computed tomography images classification model using Swin architecture with handcrafted features

Davut Kaya, Sukru Gurbuz, I. Okan Yildirim, Erhan Akbal, Sengul Dogan, Turker Tuncer. Swin-PHOG-LPQ: An accurate computed tomography images classification model using Swin architecture with handcrafted features. Biomed. Signal Proc. and Control, 86(Part B):105183, September 2023. [doi]

@article{KayaGYADT23,
  title = {Swin-PHOG-LPQ: An accurate computed tomography images classification model using Swin architecture with handcrafted features},
  author = {Davut Kaya and Sukru Gurbuz and I. Okan Yildirim and Erhan Akbal and Sengul Dogan and Turker Tuncer},
  year = {2023},
  month = {September},
  doi = {10.1016/j.bspc.2023.105183},
  url = {https://doi.org/10.1016/j.bspc.2023.105183},
  researchr = {https://researchr.org/publication/KayaGYADT23},
  cites = {0},
  citedby = {0},
  journal = {Biomed. Signal Proc. and Control},
  volume = {86},
  number = {Part B},
  pages = {105183},
}