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4. Unsupervised Content-Preserved Adaptation Network For Classification Of Pulmonary Textures From Different Ct Scanners

Unsupervised Content-Preserved Adaptation Network For Classification Of Pulmonary Textures From Different Ct Scanners

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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Unsupervised Content-Preserved Adaptation Network For Classification Of Pulmonary Textures From Different Ct Scanners

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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