NIST · ИТ · 95e49faf6a688f854700
Image Classification of Vascular Smooth Muscle Cells
The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system was
NIST · ИТОфициальный источник · 2010-11-11
{
"title_en": "Image Classification of Vascular Smooth Muscle Cells",
"designation": "",
"series": "",
"status": "",
"date": "2010-11-11",
"date_original": "November 11, 2010",
"url": "https://www.nist.gov/publications/image-classification-vascular-smooth-muscle-cells",
"source": "NIST Publications",
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"authors_en": "Michael Grasso, Ronil Mokashi , Alden A. Dima , Antonio Cardone , Kiran Bhadriraju , Anne L. Plant , Mary C. Brady , Yaacov Yesha, Yelena Yesha",
"abstract_excerpt_en": "The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system was",
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{
"title_en": "Image Classification of Vascular Smooth Muscle Cells",
"designation": "",
"series": "",
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"date": "2010-11-11",
"date_original": "November 11, 2010",
"url": "https://www.nist.gov/publications/image-classification-vascular-smooth-muscle-cells",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Michael Grasso, Ronil Mokashi , Alden A. Dima , Antonio Cardone , Kiran Bhadriraju , Anne L. Plant , Mary C. Brady , Yaacov Yesha, Yelena Yesha",
"abstract_excerpt_en": "The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system was"
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