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

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

ObjectiveAs 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 valida...

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Bibliographic Details
Main Authors: Feng Xu, Chuang Zhu, Zhihao Wang, Lei Zhang, Haifeng Gao, Zhenhai Ma, Yue Gao, Yang Guo, Xuewen Li, Yunzhao Luo, Mengxin Li, Guangqian Shen, He Liu, Yanshuang Li, Chao Zhang, Jianxiu Cui, Jie Li, Hongchuan Jiang, Jun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Oncology
Subjects:
breast cancer
deep learning
pathological nipple discharge
ductoscopy
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1103145/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1103145/full

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