PADCHEST_SJ (Feb 2019 Update)

PADCHEST_SJ (60 files)
image_zips/0.zip 21.85GB
image_zips/1.zip 22.00GB
image_zips/2.zip 21.84GB
image_zips/3.zip 21.66GB
image_zips/4.zip 21.85GB
image_zips/5.zip 21.68GB
image_zips/6.zip 12.17GB
image_zips/7.zip 20.09GB
image_zips/8.zip 21.69GB
image_zips/9.zip 21.68GB
image_zips/10.zip 21.91GB
image_zips/11.zip 22.22GB
image_zips/12.zip 22.46GB
image_zips/13.zip 20.22GB
image_zips/14.zip 20.35GB
image_zips/15.zip 20.25GB
image_zips/16.zip 20.91GB
image_zips/17.zip 21.26GB
image_zips/18.zip 20.51GB
image_zips/19.zip 21.45GB
image_zips/20.zip 20.79GB
image_zips/21.zip 19.89GB
image_zips/22.zip 21.86GB
image_zips/23.zip 20.08GB
image_zips/24.zip 19.80GB
image_zips/25.zip 19.13GB
image_zips/26.zip 20.69GB
image_zips/27.zip 20.70GB
image_zips/28.zip 20.59GB
image_zips/29.zip 20.73GB
image_zips/30.zip 20.85GB
image_zips/31.zip 19.75GB
image_zips/32.zip 20.91GB
image_zips/33.zip 21.50GB
image_zips/34.zip 21.68GB
image_zips/35.zip 20.70GB
image_zips/36.zip 21.26GB
image_zips/37.zip 19.68GB
image_zips/38.zip 18.79GB
image_zips/39.zip 19.76GB
image_zips/40.zip 19.49GB
image_zips/41.zip 20.30GB
image_zips/42.zip 19.33GB
image_zips/43.zip 19.14GB
image_zips/44.zip 19.69GB
image_zips/45.zip 18.50GB
image_zips/46.zip 20.79GB
image_zips/47.zip 19.72GB
image_zips/48.zip 20.88GB
image_zips/49.zip 20.53GB
image_zips/50.zip 14.63MB
image_zips/51.zip 18.89GB
image_zips/52.zip 28.95GB
image_zips/53.zip 22.44GB
image_zips/54.zip 31.42GB
labels_csv/PADCHEST_chest_x_ray_images_labels_160K_01.02.19.csv 99.20MB
labels_csv/tree_term_CUI_counts_160K.csv 21.13kB
README.md 6.22kB
sample/chest_x_ray_images_labels_sample.csv 14.95kB
sample/sample.zip 174.92MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {PADCHEST_SJ (Feb 2019 Update)},
keywords= {},
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superseded= {},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}
}

Hosted by users:


Support
Academic Torrents!

Disable your
ad-blocker!

Report