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3D CNN classifier that could handle any size of input 3d-image by global maximum pooling
This project forked from cyhsiung/3d_cnn_classifier
3D CNN classifier that could handle any size of input 3d-image by global maximum pooling
use to classify 3D brain image load_data.py: load input data training stage: use load_data testing stage: use load_test train.py: train the model model.py: model predict.py: test stage *x_train format: numpy array with (None, width, height, depth, channel) *y_train format: numpy array with (None, n_class), each of them is a one-hot vector n_class: class number
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