Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis

BACKGROUND: Accurate identification of ovarian cancer (OC) is of paramount importance in clinical treatment success. Artificial intelligence (AI) is a potentially reliable assistant for the medical imaging recognition. We systematically review articles on the diagnostic performance of AI in OC from...

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Detalles Bibliográficos
Autores principales: Xu, He-Li, Gong, Ting-Ting, Liu, Fang-Hua, Chen, Hong-Yu, Xiao, Qian, Hou, Yang, Huang, Ying, Sun, Hong-Zan, Shi, Yu, Gao, Song, Lou, Yan, Chang, Qing, Zhao, Yu-Hong, Gao, Qing-Lei, Wu, Qi-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486055/
https://www.ncbi.nlm.nih.gov/pubmed/36147628
http://dx.doi.org/10.1016/j.eclinm.2022.101662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486055/
https://www.ncbi.nlm.nih.gov/pubmed/36147628
http://dx.doi.org/10.1016/j.eclinm.2022.101662

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