Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model
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Background: In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged b... ...