Deep learning-based algorithm improves radiologists’ performance in lung cancer bone metastases detection on computed tomography

PURPOSE: To develop and assess a deep convolutional neural network (DCNN) model for the automatic detection of bone metastases from lung cancer on computed tomography (CT) METHODS: In this retrospective study, CT scans acquired from a single institution from June 2012 to May 2022 were included. In t...

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Detalles Bibliográficos
Autores principales: Huo, Tongtong, Xie, Yi, Fang, Ying, Wang, Ziyi, Liu, Pengran, Duan, Yuyu, Zhang, Jiayao, Wang, Honglin, Xue, Mingdi, Liu, Songxiang, Ye, Zhewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946454/
https://www.ncbi.nlm.nih.gov/pubmed/36845701
http://dx.doi.org/10.3389/fonc.2023.1125637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946454/
https://www.ncbi.nlm.nih.gov/pubmed/36845701
http://dx.doi.org/10.3389/fonc.2023.1125637

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