Cross-task representation learning for anatomical landmark detection
Recently, there is an increasing demand for automatically detecting anatomical landmarks which provide rich structural information to facilitate subsequent medical image analysis. Current methods related to this task often leverage the power of deep neural networks, while a major challenge in fine t...
| Main Authors: | , , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
Springer Nature
2020
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