Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

@article{Wang2020AutomatedPS,
  title={Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning},
  author={Pochuan Wang and Chen Shen and Holger R Roth and D. Yang and Daguang Xu and Masahiro Oda and K. Misawa and Po-Ting Chen and K. Liu and Weichih Liao and Weichung Wang and Kensaku Mori},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.13148}
}
  • Pochuan Wang, Chen Shen, +9 authors Kensaku Mori
  • Published 2020
  • Computer Science, Engineering
  • ArXiv
  • The performance of deep learning-based methods strongly relies on the number of datasets used for training. Many efforts have been made to increase the data in the medical image analysis field. However, unlike photography images, it is hard to generate centralized databases to collect medical images because of numerous technical, legal, and privacy issues. In this work, we study the use of federated learning between two institutions in a real-world setting to collaboratively train a model… CONTINUE READING
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