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

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...

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Bibliographic Details
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
Series:Insights into Imaging
Subjects:
Artificial intelligence
Breast neoplasms
Deep learning
Diagnosis
Mammography
Online Access:https://doi.org/10.1186/s13244-025-01983-x
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