MedICaT: A Dataset of Medical Images, Captions, and Textual References

Lucy Lu Wang
Lucy Lu Wang
Sachin Mehta
Sachin Mehta
Madeleine van Zuylen
Madeleine van Zuylen
Sravanthi Parasa
Sravanthi Parasa

EMNLP, pp. 2112-2120, 2020.

EI
Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Understanding the relationship between figures and text is key to scientific document understanding. Medical figures in particular are quite complex, often consisting of several subfigures (75% of figures in our dataset), with detailed text describing their content. Previous work studying figures in scientific papers focused on classify...More

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