Research progresses in mammographic diagnosis of breast cancer based on deep learning
10.13929/j.1003-3289.201808196
- Author:
Zhenhui NIE
1
Author Information
1. Medical Imaging Center, Tumor Hospital of Guangxi Medical University
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Convolutional neural network;
Deep learning;
Mammography
- From:
Chinese Journal of Medical Imaging Technology
2019;35(5):774-777
- CountryChina
- Language:Chinese
-
Abstract:
Breast cancer is one of the most common malignant tumors in women. Mammography is an important means of diagnosing breast cancer, which has great value for early detection of lesions. In recent years, deep learning is a research hotspot in the medical field due to its high efficiency and high precision. Relevant research has applied deep learning in the field of mammography, which improves the accuracy rate of diagnosis and reduces the rate of misdiagnosis in breast cancer. The research progresses of deep learning in mammographic diagnosis of breast cancer were reviewed in this article.
