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Ziyan-Huang / FLARE22

Champion Solution of MICCAI FLARE22 Challenge and FLARE24 Task2 Challenge based on nnU-Net.
Apache License 2.0
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Pseudo label selection #5

Closed wt812549723 closed 8 months ago

wt812549723 commented 8 months ago

Based on the code provided in https://github.com/Ziyan-Huang/FLARE22/blob/main/select.ipynb, it appears that three rounds of pseudo-labels are generated. However, the instructions imply that only the first round (involving the model trained with labeled data) and the second round (involving the model trained with the first round of pseudo-labels and labeled data) produce pseudo-label results. Therefore, the process for conducting the third round of iterative training remains unclear. Could you please clarify how to proceed with the third round of training in this iterative process?

Ziyan-Huang commented 8 months ago

Hello, we have repeated the procedure described in Section 1.6 of the readme twice, leading to a total of three iterations of pseudo-labels. This is the reason we refer to the process as iterative. We hope this clarification is helpful.

wt812549723 commented 8 months ago

Thank you for your patient reply.