PADCHEST_SJ (Feb 2019 Update)

folder PADCHEST_SJ (60 files)
fileREADME.md 6.22kB
filesample/chest_x_ray_images_labels_sample.csv 14.95kB
filesample/sample.zip 174.92MB
fileimage_zips/54.zip 31.42GB
filelabels_csv/PADCHEST_chest_x_ray_images_labels_160K_01.02.19.csv 99.20MB
filelabels_csv/tree_term_CUI_counts_160K.csv 21.13kB
fileimage_zips/52.zip 28.95GB
fileimage_zips/53.zip 22.44GB
fileimage_zips/50.zip 14.63MB
fileimage_zips/51.zip 18.89GB
fileimage_zips/46.zip 20.79GB
fileimage_zips/47.zip 19.72GB
fileimage_zips/48.zip 20.88GB
fileimage_zips/49.zip 20.53GB
fileimage_zips/42.zip 19.33GB
fileimage_zips/43.zip 19.14GB
fileimage_zips/44.zip 19.69GB
fileimage_zips/45.zip 18.50GB
fileimage_zips/40.zip 19.49GB
fileimage_zips/41.zip 20.30GB
fileimage_zips/30.zip 20.85GB
fileimage_zips/31.zip 19.75GB
fileimage_zips/32.zip 20.91GB
fileimage_zips/33.zip 21.50GB
fileimage_zips/34.zip 21.68GB
fileimage_zips/35.zip 20.70GB
fileimage_zips/36.zip 21.26GB
fileimage_zips/37.zip 19.68GB
fileimage_zips/38.zip 18.79GB
fileimage_zips/39.zip 19.76GB
fileimage_zips/28.zip 20.59GB
fileimage_zips/29.zip 20.73GB
fileimage_zips/26.zip 20.69GB
fileimage_zips/27.zip 20.70GB
fileimage_zips/24.zip 19.80GB
fileimage_zips/25.zip 19.13GB
fileimage_zips/22.zip 21.86GB
fileimage_zips/23.zip 20.08GB
fileimage_zips/20.zip 20.79GB
fileimage_zips/21.zip 19.89GB
fileimage_zips/14.zip 20.35GB
fileimage_zips/15.zip 20.25GB
fileimage_zips/16.zip 20.91GB
fileimage_zips/17.zip 21.26GB
fileimage_zips/18.zip 20.51GB
fileimage_zips/19.zip 21.45GB
fileimage_zips/4.zip 21.85GB
fileimage_zips/5.zip 21.68GB
fileimage_zips/6.zip 12.17GB
Too many files! Click here to view them all.
Type: Dataset
Tags: chest xray, radiology

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superseded= {},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}
}

Hosted by users:

Send Feedback Start
   0.000005
DB Connect
   0.000553
Lookup hash in DB
   0.000746
Get torrent details
   0.000701
Get torrent details, finished
   0.000747
Get authors
   0.000006
Select authors
   0.000455
Parse bibtex
   0.000491
Write header
   0.000619
get stars
   0.000473
home tab
   0.006260
render right panel
   0.000014
render ads
   0.000051
fetch current hosters
   0.001059
Done