Pulmonary nodule classification with deep residual networks.

Journal: International journal of computer assisted radiology and surgery
Published Date: May 13, 2017

Abstract

UNLABELLED: PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung nodules.

Authors

  • Aiden Nibali
    Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia. anibali@students.latrobe.edu.au.
  • Zhen He
  • Dennis Wollersheim
    Department of Public Health, La Trobe University, Melbourne, Australia.

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