Combination of Deep Learning Grad-CAM and Radiomics for Automatic Localization and Diagnosis of Architectural Distortion on DBT.

Journal: Academic radiology
Published Date: Nov 3, 2024

Abstract

RATIONALE AND OBJECTIVES: Detection and diagnosis of architectural distortion (AD) on digital breast tomosynthesis (DBT) is challenging. This study applied artificial intelligence (AI) using deep learning (DL) algorithms to detect AD, followed by radiomics for classification.

Authors

  • Xiao Chen
  • Yang Zhang
    Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Jiejie Zhou
    Department of Radiology, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yong Pan
    School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China.
  • Hanghui Xu
    Zhuji People's Hospital of Zhejiang Province, China (H.X.).
  • Ying Shen
  • Guoquan Cao
    Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Min-Ying Su
    Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
  • Meihao Wang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, PR China.

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