Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Deep learning-based algorithm improves radiologists’ performance in lung cancer bone metastases detection on computed tomography
por: Huo, Tongtong, et al.
Publicado: (2023) -
Applications of Blockchain in the Medical Field: Narrative Review
por: Xie, Yi, et al.
Publicado: (2021) -
Applications of Mixed Reality Technology in Orthopedics Surgery: A Pilot Study
por: Lu, Lin, et al.
Publicado: (2022) -
Mixed reality assists the fight against COVID-19
por: Liu, Pengran, et al.
Publicado: (2021) -
Artificial intelligence to detect the femoral intertrochanteric fracture: The arrival of the intelligent-medicine era
por: Liu, Pengran, et al.
Publicado: (2022)