9935317403c14aa31a81 · Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer
Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer
The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid
{
"title_en": "Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer",
"designation": "",
"series": "",
"status": "",
"date": "2010-10-20",
"date_original": "October 20, 2010",
"url": "https://www.nist.gov/publications/data-sets-qualification-volumetric-ct-quantitative-imaging-biomarker-lung-cancer",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Charles D. Fenimore , Andrew Buckler, Lawrence H. Schwartz, Nicholas Petrick, Michael McNitt-Gray, Binsheng Zhao, Anthony P. Reeves, P. David Mozeley, Ricardo S. Avila",
"abstract_excerpt_en": "The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid",
"id": "9935317403c14aa31a81",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer",
"designation": "",
"series": "",
"status": "",
"date": "2010-10-20",
"date_original": "October 20, 2010",
"url": "https://www.nist.gov/publications/data-sets-qualification-volumetric-ct-quantitative-imaging-biomarker-lung-cancer",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Charles D. Fenimore , Andrew Buckler, Lawrence H. Schwartz, Nicholas Petrick, Michael McNitt-Gray, Binsheng Zhao, Anthony P. Reeves, P. David Mozeley, Ricardo S. Avila",
"abstract_excerpt_en": "The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid"
}
],
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}