Learning underrepresented classes from decentralized partially labeled medical images
Using decentralized data for federated training is one promising emerging research direction for alleviating data scarcity in the medical domain. However, in contrast to large-scale fully labeled data commonly seen in general object recognition tasks, the local medical datasets are more likely to on...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2022
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