On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
Implementing neural networks for clinical use in medical applications necessitates the ability for the network to detect when input data differs significantly from the training data, with the aim of preventing unreliable predictions. The community has developed several methods for out-of-distributio...
| Main Authors: | , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
2023
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