A transfer learning pupil detector, RAPDNet, is shown to detect relative afferent pupillary defect from headset videos with 90.6% sensitivity and specificity over 64 cases, outperforming three handcrafted algorithms.
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Relative Afferent Pupillary Defect Screening through Transfer Learning
A transfer learning pupil detector, RAPDNet, is shown to detect relative afferent pupillary defect from headset videos with 90.6% sensitivity and specificity over 64 cases, outperforming three handcrafted algorithms.