ProX: A Reversed Once-for-All Network Training Paradigm for Efficient Edge Models Training in Medical Imaging

Shin Wei Lim, Chee Seng Chan, Erma Rahayu Mohd Faizal, Kok Howg Ewe. ProX: A Reversed Once-for-All Network Training Paradigm for Efficient Edge Models Training in Medical Imaging. In 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022. pages 2211-2215, IEEE, 2022. [doi]

@inproceedings{LimCFE22,
  title = {ProX: A Reversed Once-for-All Network Training Paradigm for Efficient Edge Models Training in Medical Imaging},
  author = {Shin Wei Lim and Chee Seng Chan and Erma Rahayu Mohd Faizal and Kok Howg Ewe},
  year = {2022},
  doi = {10.1109/ICIP46576.2022.9897495},
  url = {https://doi.org/10.1109/ICIP46576.2022.9897495},
  researchr = {https://researchr.org/publication/LimCFE22},
  cites = {0},
  citedby = {0},
  pages = {2211-2215},
  booktitle = {2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9620-9},
}