Ultrasound image representation learning by modeling sonographer visual attention
Image representations are commonly learned from class labels, which are a simplistic approximation of human image understanding. In this paper we demonstrate that transferable representations of images can be learned without manual annotations by modeling human visual attention. The basis of our ana...
| Main Authors: | , , , , , , |
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| 格式: | Conference item |
| 出版: |
Springer
2019
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