Method, system and computer readable medium for the two-dimensional and three-dimensional detection of lesions in computed tomography scans
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United States of America Patent
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May 24, 2005
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N/A
app pub date -
Jan 16, 2001
filing date -
Jan 18, 2000
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Abstract
A method, system and computer readable medium for automated detection of lung nodules in computed tomography (CT) image scans, including generating two-dimensional segmented lung images by segmenting a plurality of two-dimensional CT image sections derived from the CT image scans; generating three-dimensional segmented lung volume images by combining the two-dimensional segmented lung images; determining three-dimensional lung nodule candidates from the three-dimensional segmented lung volume images, including, identifying structures within the three-dimensional segmented lung volume images that meet a volume criterion; deriving features from the lung nodule candidates; and detecting lung nodules by analyzing the features to eliminate false-positive nodule candidates from the nodule candidates.
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