A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification. (arXiv:2208.01077v1 [eess.IV])

Deep learning models are being applied to more and more use cases with
astonishing success stories, but how do they perform in the real world? To test
a model, a specific cleaned data set is assembled. However, when deployed in
the real world, the model will face unexpected, out-of-distribution (OOD) data.
In this work, we show that the so-called "radiologist-level" CheXnet model
fails to recognize all OOD images and classifies them as having lung disease.
To address this issue, we …

arxiv classification detection disease distribution example medical ray voting x-ray