A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis.

Journal: In vivo (Athens, Greece)
Published Date:

Abstract

BACKGROUND/AIM: Breast cancer remains a major global health concern. This study aimed to develop a deep-learning-based artificial intelligence (AI) model that predicts the malignancy of mammographic lesions and reduces unnecessary biopsies in patients with breast cancer.

Authors

  • Jun Hyeong Park
    Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • June Hyuck Lim
    Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Seonhwa Kim
    Research Center, Software Division, NGeneBio, Seoul, 08390, Korea.
  • Jaesung Heo
    Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea.