Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images

To develop a deep-learning system for the automatic identification of triple-negative breast cancer (TNBC) solely from ultrasound images. A total of 145 patients and 831 images were retrospectively enrolled at Peking Union College Hospital from April 2018 to March 2019. Ultrasound images and clinica...

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Detalles Bibliográficos
Autores principales: Boulenger, Alexandre, Luo, Yanwen, Zhang, Chenhui, Zhao, Chenyang, Gao, Yuanjing, Xiao, Mengsu, Zhu, Qingli, Tang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852203/
https://www.ncbi.nlm.nih.gov/pubmed/36542320
http://dx.doi.org/10.1007/s11517-022-02728-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852203/
https://www.ncbi.nlm.nih.gov/pubmed/36542320
http://dx.doi.org/10.1007/s11517-022-02728-4

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