Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

@inproceedings{You2022IncrementalLM,
  title={Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation},
  author={Chenyu You and Jinlin Xiang and Kun Su and Xiaoran Zhang and Siyuan Dong and John A. Onofrey and Lawrence H. Staib and James S. Duncan},
  booktitle={DeCaF/FAIR@MICCAI},
  year={2022}
}
. Many medical datasets have recently been created for medical image segmentation tasks, and it is natural to question whether we can use them to sequentially train a single model that (1) performs better on all these datasets, and (2) generalizes well and transfers better to the unknown target site domain. Prior works have achieved this goal by jointly training one model on multi-site datasets, which achieve competitive performance on average but such methods rely on the assumption about the… 

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