2020
Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners
ICASSP 2020accepted
Deep network based methods have been proposed for accurate classification of pulmonary textures on CT images. However, such methods well-trained on CT data from one scanner cannot perform well when they are directly applied to the data from other scanners. This domain shift problem is caused by diff…