ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. Oukdach, Y., Kerkaou, Z., Ansari, M. E., Koutti, L., Ouafdi, A. F. E., & Lange, T. D. Multim. Tools Appl., 83(23):63635-63654, 07, 2024.
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. [link]Link  ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. [link]Paper  bibtex   
@article{journals/mta/OukdachKAKOL24,
  added-at = {2024-07-23T00:00:00.000+0200},
  author = {Oukdach, Yassine and Kerkaou, Zakaria and Ansari, Mohamed El and Koutti, Lahcen and Ouafdi, Ahmed Fouad El and Lange, Thomas De},
  biburl = {https://www.bibsonomy.org/bibtex/26b98ade2ce7b8ffd2d77152480c3a437/dblp},
  ee = {https://doi.org/10.1007/s11042-023-18039-1},
  interhash = {37b67f942d17114f960d226262ab590b},
  intrahash = {6b98ade2ce7b8ffd2d77152480c3a437},
  journal = {Multim. Tools Appl.},
  keywords = {dblp},
  month = {07},
  number = 23,
  pages = {63635-63654},
  timestamp = {2024-07-29T07:03:22.000+0200},
  title = {ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism.},
  url = {http://dblp.uni-trier.de/db/journals/mta/mta83.html#OukdachKAKOL24},
  volume = 83,
  year = 2024
}

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