Exploring Text and Image Features to Classify Images in Bioscience Literature

  title={Exploring Text and Image Features to Classify Images in Bioscience Literature},
  author={Barry Rafkind and Minsuk Lee and Shih-Fu Chang and Hong Yu},
A picture is worth a thousand words. Biomedical researchers tend to incorporate a significant number of images (i.e., figures or tables) in their publications to report experimental results, to present research models, and to display examples of biomedical objects. Unfortunately, this wealth of information remains virtually inaccessible without automatic systems to organize these images. We explored supervised machine-learning systems using Support Vector Machines to automatically classify… CONTINUE READING
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