Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Computer-aided methods have been widely applied to diagnose lesions detected on breast MRI, but fully-automatic diagnosis using deep learning is rarely reported.

Authors

  • Jiejie Zhou
    Department of Radiology, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yang Zhang
    Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Kai-Ting Chang
    Department of Radiological Sciences, John Tu and Thomas Yuen Center for Functional Onco-Imaging, University of California, 164 Irvine Hall, Irvine, CA, 92697-5020.
  • Kyoung Eun Lee
    Department of Radiology, Inje University Seoul Paik Hospital, Inje University, Seoul, Korea.
  • Ouchen Wang
    Department of Thyroid and Breast Surgery, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China.
  • Jiance Li
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, PR China.
  • Yezhi Lin
    Information Technology Center, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhifang Pan
    Information Technology Center, Wenzhou Medical University, 325035, China.
  • Peter Chang
    Department of Urology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Daniel Chow
    Department of Radiological Sciences, John Tu and Thomas Yuen Center for Functional Onco-Imaging, University of California, 164 Irvine Hall, Irvine, CA, 92697-5020.
  • Meihao Wang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, PR China.
  • Min-Ying Su
    Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.