ML Anthology

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)

Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman
AAAI 2023 pp. 16314-16315
doi:10.1609/AAAI.V37I13.27017 /aaai/2023/saha2023aaai-rfc/
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Cite

Text

Saha et al. "RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.27017

Markdown

[Saha et al. "RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/saha2023aaai-rfc/) doi:10.1609/AAAI.V37I13.27017

BibTeX

@inproceedings{saha2023aaai-rfc,
  title     = {{RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)}},
  author    = {Saha, Sourajit and Saha, Shaswati and Gani, Md. Osman and Oates, Tim and Chapman, David},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16314-16315},
  doi       = {10.1609/AAAI.V37I13.27017},
  url       = {https://mlanthology.org/aaai/2023/saha2023aaai-rfc/}
}