Multimodal Deep Learning Network for Differentiating Between Benign and Malignant Pulmonary Ground Glass Nodules.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

OBJECTIVE: This study aimed to establish a multimodal deep-learning network model to enhance the diagnosis of benign and malignant pulmonary ground glass nodules (GGNs).

Authors

  • Gang Liu
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • Fei Liu
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • Xu Mao
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • XiaoTing Xie
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • Jingyao Sang
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • Husai Ma
    Department of Thoracic Surgery, Qinghai Red Cross Hospital,Xining, China.
  • Haiyun Yang
    Qinghai Red Cross Hospital Department of Radiological Interventional Xining China.
  • Hui He
    The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

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