Skip to content
/ HTT Public

Repository with Data, scripts, and functions of the High-Throughput Truthing project (HTT project).

License

Notifications You must be signed in to change notification settings

DIDSR/HTT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

53 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HTT: R data package

Data, scripts, and functions of the High-Throughput Truthing project (HTT project). The "inst" directory will be used to archive scripts that reproduce the analyses done for different presentations and publications.

Project hub space: https://didsr.github.io/HTT.home/

To install this package from the R command line: install_github('DIDSR/HTT')

Data and Code Repository

Manual documenting the data and functions in the R package:


Manuscript describing the project:

  • Dudgeon et al. (2020), "A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study," Journal of Pathology Informatics, 12, p. 45. https://www.doi.org/10.4103/jpi.jpi_83_20

Manuscript describing expert panel based on pilot study:

  • Garcia et al. (2022), “Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer,” Cancers, 14, p. 2467, https://www.doi.org/10.3390/cancers14102467.

Manuscript describing pilot study results:

Elfer et al. (2022), “Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms,” J. Med. Imag., 9, p. 047501, https://www.doi.org/10.1117/1.JMI.9.4.047501.

Manuscript about Multi-reader Multi-case Analysis of Limits of Agreement

Library of work from HTT team

https://www.zotero.org/groups/4384613/eedap_studies_presentations_publications_and_studies/library

Disclaimer

This article reflects the views of the authors and does not represent the views or policy of the U.S. Food and Drug Administration, the Department of Health and Human Services, or the U.S. Government. The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by the Department of Health and Human Services.

About

Repository with Data, scripts, and functions of the High-Throughput Truthing project (HTT project).

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 2

  •  
  •  

Languages