TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. Tomar, N. K., Shergill, A., Rieders, B., Bagci, U., & Jha, D. CoRR, 2022.
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation [link]Paper  doi  bibtex   
@article{DBLP:journals/corr/abs-2206-08985,
  author       = {Nikhil Kumar Tomar and
                  Annie Shergill and
                  Brandon Rieders and
                  Ulas Bagci and
                  Debesh Jha},
  title        = {TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy
                  Polyp Segmentation},
  journal      = {CoRR},
  volume       = {abs/2206.08985},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2206.08985},
  doi          = {10.48550/ARXIV.2206.08985},
  eprinttype    = {arXiv},
  eprint       = {2206.08985},
  timestamp    = {Tue, 28 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2206-08985.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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