Image quality evaluation of ACR (RMI 156) phantom using machine learning in digital breast tomosynthesis (DBT)
Quality assurance (QA) typically relies on the RMI 156 Phantom to evaluate parameters like resolution, contrast, and noise, but current manual assessments are subjective, vary among evaluators, and are time-consuming, leading to inconsistencies. These limitations compromise the reliability of QA pro...
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| Format: | Monograph |
| Language: | en |
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Universiti Sains Malaysia
2025
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| Online Access: | http://eprints.usm.my/63028/1/NORSYAFIQAH%20ANDRIANA%20BINTI%20OTHMAN-E.pdf http://eprints.usm.my/63028/ |
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