Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Oct 11, 2022

Abstract

BACKGROUND: Previous studies have explored the potential on radiomics features of primary breast cancer tumor to identify axillary lymph node (ALN) metastasis. However, the value of deep learning (DL) to identify ALN metastasis remains unclear.

Authors

  • Jing Gao
    Department of Gastroenterology 3, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
  • Xin Zhong
    Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
  • Wenjuan Li
    Faculty of Chemistry and Material Science, Langfang Normal University, Langfang 065000, Hebei, China.
  • Qin Li
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
  • Huafei Shao
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Zhongyi Wang
    Information Office, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Yi Dai
    Department of Computer Science, University of California, Irvine, CA 92617, USA.
  • Heng Ma
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Yinghong Shi
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Han Zhang
    Johns Hopkins University, Baltimore, MD, USA.
  • Shaofeng Duan
    GE Healthcare China, Shanghai, China.
  • Kun Zhang
    Philosophy Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Ping Yang
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Feng Zhao
    Department of Blood Transfusion, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Haicheng Zhang
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Haizhu Xie
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Ning Mao
    Department of Radiology, Peking University People's Hospital, 11 Xizhimen Nandajie, Xicheng District, Beijing, 100044, People's Republic of China.

Keywords

External Resources

Popular Topics
Recent Journals