Self-supervised multi-modal alignment for whole body medical imaging
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank with both whole body Dixon technique magnetic res...
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| Format: | Conference item |
| Sprache: | English |
| Veröffentlicht: |
Springer
2021
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