REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays

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 t...

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Detalles Bibliográficos
Autores principales: Bigolin Lanfredi, Ricardo, Zhang, Mingyuan, Auffermann, William F., Chan, Jessica, Duong, Phuong-Anh T., Srikumar, Vivek, Drew, Trafton, Schroeder, Joyce D., Tasdizen, Tolga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206650/
https://www.ncbi.nlm.nih.gov/pubmed/35717401
http://dx.doi.org/10.1038/s41597-022-01441-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206650/
https://www.ncbi.nlm.nih.gov/pubmed/35717401
http://dx.doi.org/10.1038/s41597-022-01441-z

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