Deep learning for real-time detection of breast cancer presenting pathological nipple discharge by ductoscopy

OBJECTIVE: As a common breast cancer-related complaint, pathological nipple discharge (PND) detected by ductoscopy is often missed diagnosed. Deep learning techniques have enabled great advances in clinical imaging but are rarely applied in breast cancer with PND. This study aimed to design and vali...

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Detalles Bibliográficos
Autores principales: Xu, Feng, Zhu, Chuang, Wang, Zhihao, Zhang, Lei, Gao, Haifeng, Ma, Zhenhai, Gao, Yue, Guo, Yang, Li, Xuewen, Luo, Yunzhao, Li, Mengxin, Shen, Guangqian, Liu, He, Li, Yanshuang, Zhang, Chao, Cui, Jianxiu, Li, Jie, Jiang, Hongchuan, Liu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073663/
https://www.ncbi.nlm.nih.gov/pubmed/37035165
http://dx.doi.org/10.3389/fonc.2023.1103145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073663/
https://www.ncbi.nlm.nih.gov/pubmed/37035165
http://dx.doi.org/10.3389/fonc.2023.1103145

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