data_loader.py 文件源码

def load_channels(self, normalize=False):
        modalities = []
        modalities.append(nib.load(self.T2_FILE))
        modalities.append(nib.load(self.T1_FILE))

        channels = np.zeros(modalities[0].shape + (2,), dtype=np.float32)

        for index_mod, mod in enumerate(modalities):
            if self.data_augmentation:
                channels[:, :, :, index_mod] = flip_plane(np.asarray(mod.dataobj), plane=self.data_augmentation)
            else:
                channels[:,:,:,index_mod] = np.asarray(mod.dataobj)

            if normalize:
                channels[:, :, :, index_mod] = normalize_image(channels[:,:,:,index_mod], mask = self.load_ROI_mask() )


        return channels