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Found 2 papers, 2 papers with code
Online unsupervised Learning for domain shift in COVID-19 CT scan datasets
When changes are made in the process of medical imaging, trained networks may not perform as well, and obtaining large amounts of expert annotations for each change in the imaging process can be time consuming and expensive.
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
A total of 10 experiments are run comparing the classification performance of the proposed method of self supervision with different amounts of data.
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