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Found 2 papers, 1 papers with code
Quality analysis of DCGAN-generated mammography lesions
Medical image synthesis has gained a great focus recently, especially after the introduction of Generative Adversarial Networks (GANs).
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-of-the-art methods.
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