Self-supervised representation learning for ultrasound video
Recent advances in deep learning have achieved promising performance for medical image analysis, while in most cases ground-truth annotations from human experts are necessary to train the deep model. In practice, such annotations are expensive to collect and can be scarce for medical imaging applica...
| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Conference item |
| Taal: | English |
| Gepubliceerd in: |
IEEE
2020
|