论文标题
评论：使用深度学习的MRI降低噪声和伪影
Review: Noise and artifact reduction for MRI using deep learning
论文作者
论文摘要
几年来，已经进行了许多尝试，以减少MRI中的噪声和工件。尽管有许多成功解决这些问题的方法，但由于其复杂的机制，临床图像的实际实施仍然具有挑战性。最近，深度学习受到了广泛的关注，成为一种机器学习方法，可以提供强大的MR图像处理。因此，这里的目的是进一步探索并使用深度学习的MRI来审查噪声和伪影的减少。
For several years, numerous attempts have been made to reduce noise and artifacts in MRI. Although there have been many successful methods to address these problems, practical implementation for clinical images is still challenging because of its complicated mechanism. Recently, deep learning received considerable attention, emerging as a machine learning approach in delivering robust MR image processing. The purpose here is therefore to explore further and review noise and artifact reduction using deep learning for MRI.
