RSNA 2018

CNN-based Image Super-Resolution for CT Slice Thickness Reduction using Paired CT Scans for Improving Robustness of Computer-aided Nodule Detection System

  • Nov. 2018
  • by Kyu-Hwan Jung et. al.

To evaluate the effectiveness of a slice thickness reduction technique in computed tomography(CT) scans using convolutional neural network(CNN)-based super-resolution(SR) network for improving the sensitivity of lung nodule detection in thick section CT scans.


Kyu-Hwan Jung, Woong Bae, Seungho Lee, Gwangbeen Park, Hyunho Park, Sang Min Lee

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