A novel collaborative self-supervised learning method for radiomic data
The computer-aided disease diagnosis from radiomic data is important in many medical applications. However, developing such a technique relies on labeling radiological images, which is a time-consuming, labor-intensive, and expensive process. In this work, we present the first novel collaborative se...
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| Principais autores: | , , , , , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
Elsevier
2023-08-01
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| 丛编: | NeuroImage |
| 主题: | |
| 在线阅读: | http://www.sciencedirect.com/science/article/pii/S1053811923003804 |
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