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PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans [article]

Weihua Liu, Xiabi Liua, Xiongbiao Luo, Murong Wang, Guanghui Han, Xinming Zhao, Zheng Zhu
2020 arXiv   pre-print
This paper proposes a new convolutional neural network with multiscale processing for detecting ground-glass opacity (GGO) nodules in 3D computed tomography (CT) images, which is referred to as PiaNet  ...  In the first stage, the feature-extraction module is embedded into a classifier network that is trained on a large data set of GGO and non-GGO patches, which are generated by performing data augmentation  ...  In this paper, we propose a new convolutional neural network named PiaNet for accurate GGO detection from 3D CT images.  ... 
arXiv:2009.05267v2 fatcat:xdxmup6omra47hqdyeqn4fkhqi