MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation. Ejiyi, C. J., Qin, Z., Ejiyi, M. B., Ukwuoma, C. C., Ejiyi, T. U., Muoka, G. W., Gyarteng, E. S. A., & Bamisile, O. Comput. Biol. Medicine, 179:108847, 2024.
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation. [link]Link  MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation. [link]Paper  bibtex   
@article{journals/cbm/EjiyiQEUEMGB24,
  added-at = {2024-07-31T00:00:00.000+0200},
  author = {Ejiyi, Chukwuebuka Joseph and Qin, Zhen and Ejiyi, Makuachukwu Bennedith and Ukwuoma, Chiagoziem Chima and Ejiyi, Thomas Ugochukwu and Muoka, Gladys Wavinya and Gyarteng, Emmanuel S. A. and Bamisile, Olusola},
  biburl = {https://www.bibsonomy.org/bibtex/2b1cb7e949357961de8bafc814648561c/dblp},
  ee = {https://doi.org/10.1016/j.compbiomed.2024.108847},
  interhash = {e9f3a465d925d46bded08add69f4b7e3},
  intrahash = {b1cb7e949357961de8bafc814648561c},
  journal = {Comput. Biol. Medicine},
  keywords = {dblp},
  pages = 108847,
  timestamp = {2024-08-05T07:05:51.000+0200},
  title = {MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation.},
  url = {http://dblp.uni-trier.de/db/journals/cbm/cbm179.html#EjiyiQEUEMGB24},
  volume = 179,
  year = 2024
}

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