Eye-tracking Annotations for Deep Learning Radiology Applications
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In this ongoing project, funded by NIBIB/NIH, we collected eye-tracking data, as a proof-of-concept of a non-intrusive way of providing localization information on labels associated with each chest x-ray read by radiologists. The REFLACX (Reports and Eye-Tracking Data for Localization of Abnormalities in Chest X-rays) dataset contains 3,032 cases of eye-tracking data collected while a […]
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