Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance ima...
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images
About this item
Full title
Author / Creator
Li, Leizi , Yu, Jingchun , Li, Yijin , Wei, Jinbo , Fan, Ruifang , Wu, Dieen and Ye, Yufeng
Publisher
Switzerland: Frontiers Media S.A
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Media S.A
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Scope and Contents
Contents
MRI is one of the commonly used diagnostic methods in clinical practice, especially in brain diseases. There are many sequences in MRI, but T1CE images can only be obtained by using contrast agents. Many patients (such as cancer patients) must undergo alignment of multiple MRI sequences for diagnosis, especially the contrast-enhanced magnetic reson...
Alternative Titles
Full title
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c3d60b6a30fc42a59fe0433a0f83a994
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c3d60b6a30fc42a59fe0433a0f83a994
Other Identifiers
ISSN
1662-5188
E-ISSN
1662-5188
DOI
10.3389/fncom.2024.1365238
