Lung Nodule Detection using Convolutional Neural Networks with Transfer Learning on CT Images.

Journal: Combinatorial chemistry & high throughput screening
Published Date: Jan 1, 2021

Abstract

AIM AND OBJECTIVE: Lung nodule detection is critical in improving the five-year survival rate and reducing mortality for patients with lung cancer. Numerous methods based on Convolutional Neural Networks (CNNs) have been proposed for lung nodule detection in Computed Tomography (CT) images. With the collaborative development of computer hardware technology, the detection accuracy and efficiency can still be improved.

Authors

  • Jun Gao
    Physics of Complex Fluids, MESA+ Institute for Nanotechnology, University of Twente, Enschede 7500 AE, The Netherlands.
  • Qian Jiang
    College of Engineering, South China Agricultural University, Guangzhou 510642, China.
  • Bo Zhou
    Department of Neurology, The Third People's Hospital of Yibin, Yibin, China.
  • Daozheng Chen
    College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.

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