Before revision:  To address these challenges, we evaluate the utility of spectral decoupling in the context of medical image analysis . Spectral decoupling encourages the neural network to learn more features by simply regularising the networks' unnormalized prediction scores with an L2 penalty.
After revision:  To address these challenges, we evaluate the utility of spectral decoupling in the context of medical image classification . Spectral decoupling encourages the neural network to learn more features by simply regularising the networks' unnormalized prediction scores with an L2 penalty.