Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

no code implementations • 19 Aug 2021 • Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku MORI

Federated learning (FL) for medical image segmentation becomes more challenging in multi-task settings where clients might have different categories of labels represented in their data.

Federated Learning Image Segmentation +3

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

no code implementations • 28 Sep 2020 • Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Wei-Chung Wang, Kensaku MORI

The performance of deep learning-based methods strongly relies on the number of datasets used for training.

Automated Pancreas Segmentation Federated Learning +2