Diagnostic performance of a deep learning-based method in differentiating malignant from benign subcentimeter (≤10 mm) solid pulmonary nodules

BACKGROUND: This study assessed the diagnostic performance of a deep learning (DL)-based model for differentiating malignant subcentimeter (≤10 mm) solid pulmonary nodules (SSPNs) from benign ones in computed tomography (CT) images compared against radiologists with 10 and 15 years of experience in...

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Detalles Bibliográficos
Autores principales: Liu, Jianing, Qi, Linlin, Wang, Yawen, Li, Fenglan, Chen, Jiaqi, Cheng, Sainan, Zhou, Zhen, Yu, Yizhou, Wang, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636433/
https://www.ncbi.nlm.nih.gov/pubmed/37969262
http://dx.doi.org/10.21037/jtd-23-985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636433/
https://www.ncbi.nlm.nih.gov/pubmed/37969262
http://dx.doi.org/10.21037/jtd-23-985

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