1. A method for automated detection of lung nodules in computed tomography (CT) image scans, comprising: generating two-dimensional segmented lung images by segmenting a plurality of two-dimensional CT image sections derived from said CT image scans; generating three-dimensional segmented lung volume images by combining said two-dimensional segmented lung images; determining three-dimensional lung nodule candidates from said three-dimensional segmented lung volume images, including, identifying structures within said three-dimensional segmented lung volume images that meet a volume criterion; deriving features from said lung nodule candidates; and detecting lung nodules by analyzing said features to eliminate false-positive nodule candidates from said nodule candidates.