Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre studyResearch in context

Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre studyResearch in context

Summary: Background: Breast cancer is the leading cause of cancer-related deaths in women. However, accurate diagnosis of breast cancer using medical images heavily relies on the experience of radiologists. This study aimed to develop an artificial intelligence model that diagnosed single-mass brea...

Full description

Bibliographic Details
Main Authors: Tiantian Zheng, Fan Lin, Xianglin Li, Tongpeng Chu, Jing Gao, Shijie Zhang, Ziyin Li, Yajia Gu, Simin Wang, Feng Zhao, Heng Ma, Haizhu Xie, Cong Xu, Haicheng Zhang, Ning Mao
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:EClinicalMedicine
Subjects:
Deep learning
Full automated pipeline system
Contrast-enhanced mammography
Breast lesions
Segmentation
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023000901

Internet

http://www.sciencedirect.com/science/article/pii/S2589537023000901

Similar Items