Comments (1)
Hello, I am deeply inspired by your work. I would like to ask about the use of pseudo labels, it is understandable to use on the training set, but I do not understand the use on the verification set and the test set. In the real world, we don't have a test set that can generate pseudo labels with CheXbert, so we can't input another feature to the model like an image. Looking forward to your reply, I would appreciate it.
Hi, Thank you for your interest to our work. XPRONet aims to be applied in a not untypical scenario where the radiologists themselves would be able to straightforwardly provide high-level (structured) disease label information (normally more accurate than the pseudo-labels). This would be both efficient and easier, and our generator produces the full report based on the disease labels and the radiograph. Considering the difficulty in obtaining the ground truth disease labels in the real word, we also veified the performance of XPRONet by utilizing the pseudo-labels from a visual-based classifier trained by the pseudo-labels from the training set. The results can be found in the ReadMe file and make almost no difference to the results using the pseudo-labels from the ChexBert. Hope this would help you figure out the problem.
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Related Issues (19)
- Problem on the val/test step HOT 4
- Great work. Have you done any preprocessing on the mimic dataset? HOT 1
- how to train the model to get the result same as the paper? HOT 7
- How to get the init_prototypes.pt and labels_14.pickle? HOT 7
- How to get the init_prototypes.pt ? HOT 1
- About Results on IU_Xray dataset HOT 3
- IUXray: train test validation split affecting token/id mappings HOT 5
- MIMIC annotation.json HOT 1
- About CheXpert labeler HOT 2
- Some questions about the prototype matrix HOT 2
- iu_xray HOT 1
- Some questions about the DataParallel. HOT 4
- Why does the best model and results reproduced on the iu-xray dataset appear in the 3rd epoch? HOT 7
- How to generate a report HOT 7
- IU-Xray dataset
- Are only Findings used in reports in the IU-Xray dataset HOT 2
- pseudo labels HOT 1
- mimic dataset HOT 4
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