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Title: Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1511807
Report Number(s):
SAND2017-12748C
659008
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Machine Learning Challenges as a Research Tool.
Country of Publication:
United States
Language:
English

Citation Formats

Chen, Maximillian Gene, Stracuzzi, David John, Darling, Michael Christopher, and Peterson, Matthew Gregor. Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation.. United States: N. p., 2017. Web.
Chen, Maximillian Gene, Stracuzzi, David John, Darling, Michael Christopher, & Peterson, Matthew Gregor. Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation.. United States.
Chen, Maximillian Gene, Stracuzzi, David John, Darling, Michael Christopher, and Peterson, Matthew Gregor. Wed . "Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation.". United States. https://www.osti.gov/servlets/purl/1511807.
@article{osti_1511807,
title = {Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation.},
author = {Chen, Maximillian Gene and Stracuzzi, David John and Darling, Michael Christopher and Peterson, Matthew Gregor},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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