Value of CT-Based Deep Learning Model in Differentiating Benign and Malignant Solid Pulmonary Nodules ≤ 8 mm.

Abstract

Authors

• Yuan Li
  NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
• Xing-Tao Huang
  Department of Radiology, the Fifth People's Hospital of Chongqing, No. 24 Renji Road, Nan'an District, Chongqing, China (X.T.H.).
• Yi-Bo Feng
  Institute of Research, Infervision Medical Technology Co., Ltd, 25F Building E, Yuanyang International Center, Chaoyang District. Beijing, China (B.Y.F., R.Q.F., W.D.W.).
• Qian-Rui Fan
  Institute of Research, Infervision Medical Technology Co., Ltd, 25F Building E, Yuanyang International Center, Chaoyang District. Beijing, China (B.Y.F., R.Q.F., W.D.W.).
• Da-Wei Wang
• Fa-Jin Lv
  Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China (F.J.L., X.Q.H., Q.L.).
• Xiao-Qun He
  Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China (F.J.L., X.Q.H., Q.L.).
• Qi Li
  The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.

Keywords

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