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REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. (arXiv:2109.14187v3 [eess.IV] UPDATED)
June 30, 2022, 1:12 a.m. | Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann, Jessica Chan, Phuong-Anh T. Duong, Vivek Srikumar, Trafton Drew, Joyce D. Schroeder,
cs.CV updates on arXiv.org arxiv.org
Deep learning has shown recent success in classifying anomalies in chest
x-rays, but datasets are still small compared to natural image datasets.
Supervision of abnormality localization has been shown to improve trained
models, partially compensating for dataset sizes. However, explicitly labeling
these anomalies requires an expert and is very time-consuming. We propose a
potentially scalable method for collecting implicit localization data using an
eye tracker to capture gaze locations and a microphone to capture a dictation
of a report, imitating …
arxiv data dataset localization reports tracking tracking data
More from arxiv.org / cs.CV updates on arXiv.org
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