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False positives is everywhere.
I ran on few, such as this one: https://radiopaedia.org/cases/normal-chest-x-ray
Results:
[ { "Atelectasis":0.513898491859436 }, { "Cardiomegaly":0.4632066786289215 }, { "Effusion":0.7996526956558228 }, { "Infiltration":0.3642980754375458 }, { "Mass":0.4949002265930176 }, { "Nodule":0.2438926249742508 }, { "Pneumonia":0.35062509775161743 }, { "Pneumothorax":0.2875746786594391 }, { "Consolidation":0.5513240098953247 }, { "Edema":0.4362095892429352 }, { "Emphysema":0.5255514979362488 }, { "Fibrosis":0.4974825382232666 }, { "Pleural_Thickening":0.38915345072746277 }, { "Hernia":0.5669712424278259 } ]
When it fact, this is a clean Xray
I ran on few other actual CXR with no known issues.. yet its' producing all kinds of false positives.
Has anyone else noticed that the model is faulty?
The text was updated successfully, but these errors were encountered:
@taewookim The model was trained on frontal X-ray images, did you test it on other types of X-ray images such as lateral ones?
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False positives is everywhere.
I ran on few, such as this one: https://radiopaedia.org/cases/normal-chest-x-ray
Results:
When it fact, this is a clean Xray
I ran on few other actual CXR with no known issues.. yet its' producing all kinds of false positives.
Has anyone else noticed that the model is faulty?
The text was updated successfully, but these errors were encountered: