Self-supervised learning for spinal MRIs
A significant proportion of patients scanned in a clinical setting have follow-up scans. We show in this work that such longitudinal scans alone can be used as a form of “free” self-supervision for training a deep network. We demonstrate this self-supervised learning for the case of T2-weighted sagi...
| Κύριοι συγγραφείς: | , , |
|---|---|
| Μορφή: | Conference item |
| Έκδοση: |
Springer, Cham
2017
|