Deep learning method for visual question answering in the digital radiology domain

HIGHLIGHTS

  • who: Dainius Gaidamaviu010dius and Tomas Ieu0161mantas from the Department of Applied Mathematics, Kaunas University of Technology, Kaunas, Lithuania have published the paper: Deep learning method for visual question answering in the digital radiology domain, in the Journal: (JOURNAL)
  • what: In Fig 1 the authors provide a general scheme of the algorithm used in this work. The aim of this model is to embed words into latent space in such a way that similar semantic meaning words would be as close as possible in a metric space, contrary to words with different semantic meanings. In Table . . .

     

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