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Evaluation of Deep Learning–Metal Artifact Reduction for In-Stent Restenosis Using Dual-Layer Spectral CT: A Phantom Study

Yilmaz, Kennedy (2025) Evaluation of Deep Learning–Metal Artifact Reduction for In-Stent Restenosis Using Dual-Layer Spectral CT: A Phantom Study. Master's Thesis / Essay, Biomedical Engineering.

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Abstract

The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Greuter, M.J.W.
Degree programme: Biomedical Engineering
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Jul 2025 06:13
Last Modified: 15 Jul 2025 06:13
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/36160

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