Article

Addressing catastrophic forgetting for medical domain expansion

2021-11-17

Abstract excerpt

<title>Abstract</title> <p>Model brittleness is a key concern when deploying deep learning models in real-world medical settings. A model that has high performance at one dataset may suffer a significant decline in performance when tested at on different datasets. While pooling datasets from multiple hospitals and re-training may provide a straightforward solution, it is often infeasible and may compromise patien...

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Literature Corpus work: d892fc20-35ce-58e1-a6f9-932f1b6c60e2
DOI: 10.21203/rs.3.rs-1087025/v1

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