Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study

BACKGROUND: Accurate detection is essential for brain metastasis (BM) management, but manual identification is laborious. This study developed, validated, and evaluated a BM detection (BMD) system. METHODS: Five hundred seventy-three consecutive patients (10 448 lesions) with newly diagnosed BMs and...

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Detalles Bibliográficos
Autores principales: Yin, Shaohan, Luo, Xiao, Yang, Yadi, Shao, Ying, Ma, Lidi, Lin, Cuiping, Yang, Qiuxia, Wang, Deling, Luo, Yingwei, Mai, Zhijun, Fan, Weixiong, Zheng, Dechun, Li, Jianpeng, Cheng, Fengyan, Zhang, Yuhui, Zhong, Xinwei, Shen, Fangmin, Shao, Guohua, Wu, Jiahao, Sun, Ying, Luo, Huiyan, Li, Chaofeng, Gao, Yaozong, Shen, Dinggang, Zhang, Rong, Xie, Chuanmiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435500/
https://www.ncbi.nlm.nih.gov/pubmed/35100427
http://dx.doi.org/10.1093/neuonc/noac025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435500/
https://www.ncbi.nlm.nih.gov/pubmed/35100427
http://dx.doi.org/10.1093/neuonc/noac025

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