Analysis of Influencing Factors on Pulmonary Nodule Detection by Computed Tomography with Artificial Intelligence: A Phantom Study

Objective: This study aimed to analyze the factors influencing artificial intelligence (AI) diagnostic system detection of pulmonary nodules on computed tomography (CT) scans, using a chest simulation phantom experiment with simulated lung nodules. Methods: A Toshiba (Canon) 64-slice spiral CT scann...

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Autores principales:	Qiang LIU, Yongming ZENG, Jingkun SUN, Hao LOU, Xianmei XIA, Bing GE, Yu ZHOU, Yue ZHENG
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Editorial Office of Computerized Tomography Theory and Application 2024-07-01
Colección:	CT Lilun yu yingyong yanjiu
Materias:	artificial intelligence x-ray computed tomography pulmonary nodules phantom
Acceso en línea:	https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.190
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