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A Deep Learning System for Synthetic Knee MRI: Is Artificial Intelligence based Fat Suppressed Imaging Feasible?
OBJECTIVES: To determine the feasibility and performance of a deep learning system (DLS) used to create synthetic artificial intelligence-based fat-suppressed (FS) MR images (AFSMRI) of the knee. MATERIALS AND METHODS: This single-center study was approved by the Institutional Review Board. Artifici...
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| Publicado no: | Invest Radiol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8087629/ https://ncbi.nlm.nih.gov/pubmed/33350717 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RLI.0000000000000751 |
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