Applying a CT texture analysis model trained with deep‐learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis

OBJECTIVE: To investigate the feasibility and accuracy of applying a computed tomography (CT) texture analysis model trained with deep‐learning reconstruction images to iterative reconstruction images for classifying pulmonary nodules. MATERIALS AND METHODS: CT images of 102 patients, with a total o...

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Detalles Bibliográficos
Autores principales: Wang, Qingle, Xu, Shijie, Zhang, Guozhi, Zhang, Xingwei, Gu, Junying, Yang, Shuyi, Zeng, Mengsu, Zhang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680564/
https://www.ncbi.nlm.nih.gov/pubmed/35998185
http://dx.doi.org/10.1002/acm2.13759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680564/
https://www.ncbi.nlm.nih.gov/pubmed/35998185
http://dx.doi.org/10.1002/acm2.13759

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