PADCHEST_SJ (60 files)
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| sample/chest_x_ray_images_labels_sample.csv |
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Type: Dataset
Tags: chest xray, radiology
Bibtex:
Tags: chest xray, radiology
Abstract:
This dataset includes more than 160,000 images obtained from 67,000 patients that were interpreted and reported by radiologists at Hospital San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical Language System (UMLS) terminology.
https://i.imgur.com/MpVlYgB.png
URL: https://arxiv.org/abs/1901.07441
License: Creative Commons Attribution-ShareAlike 4.0 International License
This dataset includes more than 160,000 images obtained from 67,000 patients that were interpreted and reported by radiologists at Hospital San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical Language System (UMLS) terminology.
URL: https://arxiv.org/abs/1901.07441
License: Creative Commons Attribution-ShareAlike 4.0 International License
Bibtex:
@article{,
title= {PADCHEST_SJ (Feb 2019 Update)},
keywords= {chest xray, radiology},
author= {},
abstract= {This dataset includes more than 160,000 images obtained from 67,000 patients that were interpreted and reported by radiologists at Hospital San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical Language System (UMLS) terminology.
https://i.imgur.com/MpVlYgB.png},
terms= {},
license= {Creative Commons Attribution-ShareAlike 4.0 International License},
superseded= {},
url= {https://arxiv.org/abs/1901.07441}
}
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