The automatic detection of Ground-Glass Opacity (GGO) in lung CT images is very useful
for early diagnosis of lung cancers. In this paper, we present a study of previous GGO detection
methods and summarize a common algorithm framework, which includes three components: preprocessing,
candidate extraction and GGO identification. For each component, we discuss the main
methods. Also we further describe the evaluation criterion and provide a comparison of the performance
of the existing approaches.
Keywords: Lung CT images, Imaging signs, GGO nodule, GGO detection, Medical imaging, Computer aided detection
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