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Deep-learning-based model observer for a lung nodule detection task in computed tomography
Purpose: Task-based image quality assessment using model observers (MOs) is an effective approach to radiation dose and scanning protocol optimization in computed tomography (CT) imaging, once the correlation between MOs and radiologists can be established in well-defined clinically relevant tasks....
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7324744/ https://ncbi.nlm.nih.gov/pubmed/32647740 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.4.042807 |
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