Untrained perceptual loss for image denoising of line-like structures in MR images
Untrained perceptual loss for image denoising of line-like structures in MR images
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United States: Public Library of Science
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English
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United States: Public Library of Science
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In the acquisition of Magnetic Resonance (MR) images shorter scan times lead to higher image noise. Therefore, automatic image denoising using deep learning methods is of high interest. In this work, we concentrate on image denoising of MR images containing line-like structures such as roots or vessels. In particular, we investigate if the special...
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Untrained perceptual loss for image denoising of line-like structures in MR images
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TN_cdi_plos_journals_3171771916
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3171771916
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0318992
