Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.

Journal: Cancer biomarkers : section A of Disease markers
PMID: 38043007

Abstract

OBJECTIVES: This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images.

Authors

  • Shidi Miao
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
  • Haobo Jia
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
  • Wenjuan Huang
    Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
  • Ke Cheng
    School of Computer Science and Engineering, Jiangsu University of Science and Technology, No. 2 Mengxi Road, Zhenjiang 212003, China.
  • Wenjin Zhou
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Ruitao Wang
    Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.

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