Papers: 10.1371/journal.pmed.1002686

https://doi.org/10.1371/journal.pmed.1002686

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Cited by: 755
Author(s): Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan Halabi, Evan J. Zucker, Andrew Y. Ng, Matthew P. Lungren
Published: almost 8 years ago

Software Mentions 9

cran: boot
Bootstrap Functions (Originally by Angelo Canty for S)
Papers that mentioned: 143
Very Likely Science (83)
cran: ConSpline
Partial Linear Least-Squares Regression using Constrained Splines
Papers that mentioned: 1
Very Likely Science (93)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: gridExtra
Miscellaneous Functions for "Grid" Graphics
Papers that mentioned: 298
Very Likely Science (85)
cran: irr
Various Coefficients of Interrater Reliability and Agreement
Papers that mentioned: 228
Very Likely Science (83)
cran: MESS
Miscellaneous Esoteric Statistical Scripts
Papers that mentioned: 57
Very Likely Science (100)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
pypi: boot
VHDL simulator and synthesis tool
Papers that mentioned: 143
Very Likely Science (65)
pypi: irr
numpy.irr but works
Papers that mentioned: 228
Very Likely Science (65)