Synthetic dataset for dual-perspective self-supervised learning
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/8248111
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资源简介：
The synthetic Ca datasets for training and testing, including training dataset with bidirectional collinear scan (Ny = 2Nx) for MP-SSL, training dataset with normal scan (Ny = Nx) for TP-SSL, and testing data (Ny = Nx)
If you use these data simulated using our modified NAOMi model, please cite the corresponding work:
B. Shen, C. Luo, W. Pang, Y. Jiang, W. Wu, R. Hu, J. Qu, B. Gu, L. Liu. Surmounting photon limits and motion artifacts for biological dynamics imaging via dual-perspective self-supervised learning. PhotoniX 5, 1 (2024).
创建时间：
2024-01-06
