TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References

10 Aug 2017 Zizhao Zhang Pingjun Chen Manish Sapkota Lin Yang

In this paper, we introduce the semantic knowledge of medical images from their diagnostic reports to provide an inspirational network training and an interpretable prediction mechanism with our proposed novel multimodal neural network, namely TandemNet. Inside TandemNet, a language model is used to represent report text, which cooperates with the image model in a tandem scheme... (read more)

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