Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study

We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibility of the artificial intelligence method. In this r...

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Detalles Bibliográficos
Autores principales: Huo, Tongtong, Li, Lixin, Chen, Xiting, Wang, Ziyi, Zhang, Xiaojun, Liu, Songxiang, Huang, Jinfa, Zhang, Jiayao, Yang, Qian, Wu, Wei, Xie, Yi, Wang, Honglin, Ye, Zhewei, Deng, Kaixian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988965/
https://www.ncbi.nlm.nih.gov/pubmed/36878941
http://dx.doi.org/10.1038/s41598-022-26771-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988965/
https://www.ncbi.nlm.nih.gov/pubmed/36878941
http://dx.doi.org/10.1038/s41598-022-26771-1

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