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Hello there,
You mentioned that you trained the models on 14 pathology labels including (no finding and support devices).
The thing is that the cheXpert dataset contains up to four values for each label (nan, 0, 1, -1).
How you normalized those values before training? Which values are assumed as positive and which are assumed as negative?
If you considered some values to represent uncertain how you dealt with those uncertain values?
The text was updated successfully, but these errors were encountered:
Hello there,
You mentioned that you trained the models on 14 pathology labels including (no finding and support devices).
The thing is that the cheXpert dataset contains up to four values for each label (nan, 0, 1, -1).
How you normalized those values before training? Which values are assumed as positive and which are assumed as negative?
If you considered some values to represent uncertain how you dealt with those uncertain values?
The text was updated successfully, but these errors were encountered: