evaluation metrics

[wangzhen699]

Thanks for your work,could you share the code about evaluation metrics,such as FIQA ，OCSD，VSD， FCNR and DRA.

[QtacierP]

We will be updating certain non-parameter metrics such as FCNR. However, as all other metrics require a heavily pre-trained model and task-specific metrics, it would be difficult to merge them into a single repository. Nevertheless, we recommend using the following repositories to calculate the Dice/Acc on the test set: IterNet for VSD, MNet for OCSD, MCFNet for FIQA, and Lesion CL for DRA. All these repositories have provided pre-trained models and evaluation codes for your convenience.

[QtacierP]

Of course, you can train your own evaluation model. We found that a model trained on high resolution will give better performance for quality assessment. Experimentally, all evaluation models we used were trained on approximately 512x512.