Lung nodules classification based on growth changes and registration technology

Benign and malignant lung nodules classification is an important task in the diagnosis of lung cancer. In this study, lung nodules are classified based on growth changes feature and registration technique. Firstly, this paper combine the global rigid registration with local elastic registration method, which can extract the growth changes of a region of interest. Secondly, the benign and malignant nodules are classified on a rule-based classifier. Experimental findings show that the proposed method can extract features automatically and yield accurate classification results.

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