Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Abstract Background The clinical application of artificial intelligence (AI) models based on breast ultrasound static images has been hindered in real-world workflows due to operator-dependence of standardized image acquisition and incomplete view of breast lesions on static images. To better exploi...

Full description

Saved in:
Bibliographic Details
Main Authors: Jie Han, Yuanjing Gao, Ling Huo, Dong Wang, Xiaozheng Xie, Rui Zhang, Mengsu Xiao, Nan Zhang, Meng Lei, Quanlin Wu, Lu Ma, Chao Sun, Xinyi Wang, Lei Liu, Shuzhen Cheng, Binghui Tang, Liwei Wang, Qingli Zhu, Yong Wang
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Cancer Imaging
Subjects:
Breast neoplasms
Ultrasonography
Video
Diagnosis
Deep learning
Artificial intelligence
Online Access:https://doi.org/10.1186/s40644-025-00892-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items