NIST · ИТ · 7323097e5847513e8ec4
Automated Extraction of Cellular Features for a Potentially Robust Classification Scheme
The advent of new imaging technologies has allowed faster and higher-resolution cellular image acquisition by light microscopy. This has directly aided clinical research by allowing doctors and other researchers to better visualize cells and cellular
NIST · ИТОфициальный источник · 2011-01-19
{
"title_en": "Automated Extraction of Cellular Features for a Potentially Robust Classification Scheme",
"designation": "",
"series": "",
"status": "",
"date": "2011-01-19",
"date_original": "January 19, 2011",
"url": "https://www.nist.gov/publications/automated-extraction-cellular-features-potentially-robust-classification-scheme",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Afzal A. Godil , Shwetadwip Chowdhury",
"abstract_excerpt_en": "The advent of new imaging technologies has allowed faster and higher-resolution cellular image acquisition by light microscopy. This has directly aided clinical research by allowing doctors and other researchers to better visualize cells and cellular",
"id": "7323097e5847513e8ec4",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Automated Extraction of Cellular Features for a Potentially Robust Classification Scheme",
"designation": "",
"series": "",
"status": "",
"date": "2011-01-19",
"date_original": "January 19, 2011",
"url": "https://www.nist.gov/publications/automated-extraction-cellular-features-potentially-robust-classification-scheme",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Afzal A. Godil , Shwetadwip Chowdhury",
"abstract_excerpt_en": "The advent of new imaging technologies has allowed faster and higher-resolution cellular image acquisition by light microscopy. This has directly aided clinical research by allowing doctors and other researchers to better visualize cells and cellular"
}
],
"translation_state": "none"
}