This project forked from zoukai214/ct-synthetic-mr-images
input ct data use U-net method systh mri
来自论文《Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images》，主要用于通过分割模型，将CT数据合成MRI数据。
keras>1.3 Tensorfow>1.0 SimppleITK=1.1.0
收集同一人的CT/MRI数据，需要对数据进行N4偏差场矫正，白质均值正则化，再讲两个数据进行刚性配准。
按上图对Unet进行修改，参考unet_model.py文件
如上图对CT,MRI数据进行数据预处理
train.py
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