NIST · ИТ · 1feb1aad4279a1357adf
Understanding impact of image quality on segmentation accuracy
We introduce a methodology for microscopy settings assessment and segmentation accuracy prediction based on image quality descriptors.
NIST · ИТОфициальный источник · 2013-08-06
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"title_en": "Understanding impact of image quality on segmentation accuracy",
"designation": "",
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"date": "2013-08-06",
"date_original": "August 6, 2013",
"url": "https://www.nist.gov/publications/understanding-impact-image-quality-segmentation-accuracy",
"source": "NIST Publications",
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"authors_en": "YaShian Li-Baboud , Antonio Cardone , Joe Chalfoun , Peter Bajcsy , John T. Elliott",
"abstract_excerpt_en": "We introduce a methodology for microscopy settings assessment and segmentation accuracy prediction based on image quality descriptors.",
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{
"title_en": "Understanding impact of image quality on segmentation accuracy",
"designation": "",
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"date": "2013-08-06",
"date_original": "August 6, 2013",
"url": "https://www.nist.gov/publications/understanding-impact-image-quality-segmentation-accuracy",
"source": "NIST Publications",
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"authors_en": "YaShian Li-Baboud , Antonio Cardone , Joe Chalfoun , Peter Bajcsy , John T. Elliott",
"abstract_excerpt_en": "We introduce a methodology for microscopy settings assessment and segmentation accuracy prediction based on image quality descriptors."
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