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Found 3 papers, 1 papers with code
Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?
In this regard, various synthetic motions with different trajectories of displacement and rotation are applied to T1 and T2-weighted MRI images, and a convolutional neural network is trained to show the difficulty of motion classification.
Generative Adversarial Network in Medical Imaging: A Review
Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function.
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
Melanoma is a curable aggressive skin cancer if detected early.
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