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...
| Main Authors: | , , , |
|---|---|
| 其他作者: | |
| 格式: | Conference item |
| 語言: | English |
| 出版: |
Springer
2021
|