A new visual question answering system for medical images characterization

This article presents our proposed system combining a Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) for the visual question answering applied in the medical images characterization. In our proposed Encoder-Decoder Model we have used a pre-trained convolutional neural network to extract image features, a pre-trained word embedding for questions-answers representation.