Discriminative fusion of moments-aligned latent representation of multimodality medical data
Jincheng Xie,
Weixiong Zhong,
Ruimeng Yang
et al.
Abstract:Fusion of multimodal medical data provides multifaceted, disease-relevant information for diagnosis or prognosis prediction modeling. Traditional fusion strategies such as feature concatenation often fail to learn hidden complementary and discriminative manifestations from high-dimensional multimodal data. To this end, we proposed a methodology for the integration of multimodality medical data by matching their moments in a latent space, where the hidden, shared information of multimodal data is gradually lear… Show more
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