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December 12, 2023IEEE Transactions on Radiation and Plasma Medical Sciences49 citationsOpen Access

CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives

YLYiming LeiCNChuang NiuJZJunping Zhang

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Abstract

This article reviews the deep learning methods for computed tomography image denoising and deblurring separately and simultaneously. Then, we discuss promising directions in this field, such as a combination with large-scale pretrained models and large language models. Currently, deep learning is revolutionizing medical imaging in a data-driven manner. With rapidly evolving learning paradigms, related algorithms and models are making rapid progress toward clinical applications.

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Lei et al. (2023) studied this question.

synapsesocial.com/papers/69d7b970d84d071b73f30ba9https://doi.org/10.1109/trpms.2023.3341903
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