Trained FIL model
收藏DataCite Commons2021-12-15 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Trained_FIL_model/17143370/1
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资源简介：
The FIL model was trained on all 15 training subjects from the MICCAI Challenge dataset, using a minimally informative, but proper Wishart prior, with <i>v</i><sub>0</sub>=1.0. An augmentation search radius of 3 voxels was used with a Gaussian weighting standard deviation of 2.0 voxels. Patch sizes were 4x4x4 voxels, and four outer iterations were used for model training. Up to <i>K</i>=24 basis functions were available to encode each patch. This file is the result.
提供机构：
figshare
创建时间：
2021-12-08
