Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.

Journal: Physics in medicine and biology
Published Date: Mar 4, 2021

Abstract

OBJECTIVES: This study aims to develop a computer-aided diagnosis (CADx) scheme to classify between benign and malignant ground glass nodules (GGNs), and fuse deep leaning and radiomics imaging features to improve the classification performance.

Authors

  • Xianfang Hu
    Department of Radiology, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, 1558 Sanhuan North Road, Huzhou, Zhejiang, 313000, People's Republic of China.
  • Jing Gong
    Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Haiming Li
    Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, People's Republic of China.
  • Shengping Wang
    Tianneng Battery Group Co., Ltd, Zhejiang 313100, P. R. China.
  • Meng Wei
  • Weijun Peng
    Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Yajia Gu
    Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. cjr.guyajia@vip.163.com.

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