Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networks

Abstract Purpose We developed an artificial intelligence system (AIS) using multi-view multi-level convolutional neural networks for breast cancer detection, diagnosis, and BI-RADS categorization support in mammography. Methods Twenty-four thousand eight hundred sixty-six breasts from 12,433 Asian w...

Full description

Bibliographic Details

Published in:	Insights into Imaging
Main Authors:	Hongna Tan, Qingxia Wu, Yaping Wu, Bingjie Zheng, Bo Wang, Yan Chen, Lijuan Du, Jing Zhou, Fangfang Fu, Huihui Guo, Cong Fu, Lun Ma, Pei Dong, Zhong Xue, Dinggang Shen, Meiyun Wang
Format:	Article
Language:	English
Published:	SpringerOpen 2025-05-01
Subjects:	Artificial intelligence Breast neoplasms Deep learning Diagnosis Mammography
Online Access:	https://doi.org/10.1186/s13244-025-01983-x