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2020

A Benchmark of Medical Out of Distribution Detection

Cao, Tianshi, Huang, Chin-Wei, Hui, David Yu-Tung et al.

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Motivation: Deep learning models deployed for use on medical tasks can be equipped with Out-of-Distribution Detection (OoDD) methods in order to avoid erroneous predictions.

However it is unclear which OoDD method should be used in practice.
Specific Problem: Systems trained for one particular domain of images cannot be expected to perform accurately on images of a different domain.
These images should be flagged by an OoDD method prior to diagnosis.

A Benchmark of Medical Out of Distribution Detection · Around

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