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Current approaches to explaining the decisions of deep learning systems for medical tasks have focused on visualising the elements that have contributed to each decision.
Dropout: A simple way to prevent neural networks from overfitting
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: · 1958
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Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
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Bleu: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: · 2002
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How to construct deep recurrent neural networks
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Densely connected convolutional networks
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Wang, X., Peng, Y., Lu, L., Lu, Z., Summers, R.M.: · 2018
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Show, attend and tell: Neural image caption generation with visual attention
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., Bengio, Y.: · 2057
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