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

no code implementations • 11 Sep 2020 • Weihua Liu, Xiabi Liua, Xiongbiao Luo, Murong Wang, Guanghui Han, Xinming Zhao, Zheng Zhu

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 from a small number of annotated CT scans.

Computed Tomography (CT) Data Augmentation +1

Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality

no code implementations • 27 Jul 2020 • Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma

The experiments on various classification applications, including handwritten digit recognition, lung nodule classification, face verification and face recognition, demonstrate that the proposed approach is promising to effectively deal with the problem of learning on the data with different quality and leads to the significant and stable improvements in the classification accuracy.

Classification Face Recognition +5