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Brain_age_regression

In the first part, we implement a U-net to do the brain segementation. And then use the volumn of each kind of tissue to do the regression. In part2, we apply the PCA to decrease the amount of feature of the grey brain MRI picture and do the regression. In part3, we use the end to end model and directly predict the age by using the neural network.

Prerequisites

Before running the notebook, you need to install the following package. numpy, torch, pandas, tqdm, sklearn, SimpleITK, ipywidgets, IPython and matplotlib.

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