Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che,
Sumana Ramanathan,
David Foran
et al.
Abstract:With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ultrasound (US) data. However, the scarcity of available large-scale labeled US data has hindered the success of CNNs for classifying liver disease from US data. In this work, we propose a novel generative adversarial network (GAN) architecture for realistic diseased and healthy liver US image synthesis. We adopt the concept of stackin… Show more
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