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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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: Gong, Hao, Hu, Qiyuan, Walther, Andrew, Koo, Chi Wan, Takahashi, Edwin A., Levin, David L., Johnson, Tucker F., Hora, Megan J., Leng, Shuai, Fletcher, Joel G., McCollough, Cynthia H., Yu, Lifeng
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2020
Assuntos:
Special Section on Virtual Clinical Trials
Acesso em linha: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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