3DAGNet: 3D Deep Attention and Global Search Network for Pulmonary Nodule Detection

In traditional clinical medicine, respiratory physicians or radiologists often identify the location of lung nodules by highlighting targets in consecutive CT slices, which is labor-intensive and easy-to-misdiagnose work. To achieve intelligent detection diagnosis nodules, we designed a 3D convolutional neural network, called 3DAGNet, for pulmonary nodule detection. Inspired diagnostic process localization physicians, 3DGNet includes spatial attention global search module. A multi-scale cascade module has also been introduced to enhance model using enhancement, information search, contextual feature fusion. The experimental results showed that proposed network achieved accurate information, our method achieves high sensitivity 88.08% average FROC score on LUNA16 dataset. addition, ablation experiments demonstrated effectiveness method.