In this paper, Gefen and Elad explore medical image-text representation to assist radiologists in interpreting chest X-ray images and their corresponding reports. Their journey started with an indepth exploration of the distinctive features of chest X-rays, particularly when compared to natural images, which landed on three key observations. 16 DAILY ICCV Thursday Poster Presentation LIMITR: Leveraging Local Information for Medical Image-Text Representation Gefen Dawidowicz (left) andElad Hirsch(right) are PhD candidates in the Electrical Engineering Department at the Technion – Israel Institute of Technology under the supervision of Ayellet Tal. Their paper is about learning a joint representation of images and text from medical images and reports. They speak to us ahead of their poster tomorrow (Friday) afternoon.
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