False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study

BACKGROUND: Errors have seldom been evaluated in computer-aided detection on brain metastases. This study aimed to analyze false negatives (FNs) and false positives (FPs) generated by a brain metastasis detection system (BMDS) and by readers. METHODS: A deep learning-based BMDS was developed and pro...

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Detalles Bibliográficos
Autores principales: Luo, Xiao, Yang, Yadi, Yin, Shaohan, Li, Hui, Zhang, Weijing, Xu, Guixiao, Fan, Weixiong, Zheng, Dechun, Li, Jianpeng, Shen, Dinggang, Gao, Yaozong, Shao, Ying, Ban, Xiaohua, Li, Jing, Lian, Shanshan, Zhang, Cheng, Ma, Lidi, Lin, Cuiping, Luo, Yingwei, Zhou, Fan, Wang, Shiyuan, Sun, Ying, Zhang, Rong, Xie, Chuanmiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013637/
https://www.ncbi.nlm.nih.gov/pubmed/35943350
http://dx.doi.org/10.1093/neuonc/noac192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013637/
https://www.ncbi.nlm.nih.gov/pubmed/35943350
http://dx.doi.org/10.1093/neuonc/noac192

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