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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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Autores principales: 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
Lenguaje:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Special Section on Virtual Clinical Trials
Acceso en línea: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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