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Many lung nodule computer-aided detection methods have been proposed to help radiologists in their decision making. Because high sensitivity is essential in the candidate identification stage, there are countless false positives produced by the initial suspect nodule generation process, giving more work to radiologists. The difficulty of false positive reduction lies in the variation of the appearances of the potential nodules, and the imbalance distribution between the amount of nodule anddoi:10.1109/cbms.2013.6627784 dblp:conf/cbms/CaoZZ13 fatcat:o5rlv3w5qffzfd6yhyzy4ag6qe