Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.
Li GongShan JiangZhiyong YangGuobin ZhangLu WangPublished in: International journal of computer assisted radiology and surgery (2019)
In this paper, a 3D DCNNs framework based on 3D SE-ResNet modules is proposed to detect pulmonary nodules in chest CT images accurately. Experimental results demonstrate superior effectiveness of the proposed approach in pulmonary nodule detection task.
Keyphrases
- pulmonary hypertension
- deep learning
- computed tomography
- image quality
- convolutional neural network
- contrast enhanced
- dual energy
- loop mediated isothermal amplification
- randomized controlled trial
- optical coherence tomography
- label free
- systematic review
- magnetic resonance imaging
- positron emission tomography
- high throughput
- network analysis