Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.

Journal: La Radiologia medica
Published Date: Nov 16, 2023

Abstract

OBJECTIVES: The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or malignant categories, and to further classify lung nodules into different pathological subtypes and Lung Imaging Reporting and Data System (Lung-RADS) scores.

Authors

  • Chia-Ying Lin
    Department of Medical Imaging, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Shu-Mei Guo
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Jenn-Jier James Lien
    Department of Computer Science and Information Engineering, National Cheng Kung University.
  • Wen-Tsen Lin
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Yi-Sheng Liu
    Department of Medical Imaging, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Chao-Han Lai
    Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • I-Lin Hsu
    Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Chao-Chun Chang
    Division of Thoracic Surgery, Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan, R.O.C.. i5493149@gmail.com.
  • Yau-Lin Tseng
    Division of Thoracic Surgery, Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan, R.O.C.

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