five

Balanced augmentation.

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Figshare2023-05-09 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Balanced_augmentation_/22789290
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Training data split between 4 different categories: Fast Low-Angle Shot (FLASH), Anterior_Posterior_FLASH, balanced steady-state free precession (bSSFP) and Anterior_Posterior_ bSSFP. To balance the training i.e., to relatively obtain the same number of MR images, different factors were chosen. Altogether a total of 17129 MR images with their corresponding 17129 ground truth images were generated for training the CNN.
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2023-05-09
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