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...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Jezik: | English |
| Izdano: |
IEEE
2020
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