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Multi-Branch Ensemble Learning Architecture Based On 3d Cnn For False Positive Reduction In Lung Nodule Detection, Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung

Faculty and Research Publications

It is critical to have accurate detection of lung nodules in CT images for the early diagnosis of lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of detection. Due to the heterogeneity of lung nodules and their similarity to the background, it is difficult to distinguish true lung nodules from numerous candidate nodules. In this paper, in order to solve this challenging problem, we propose a Multi-Branch Ensemble Learning architecture based on the three-dimensional (3D) convolutional neural networks (MBEL-3D-CNN). The method combines three key ideas: 1) constructing a 3D-CNN to make the …