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A Study on Improving the Accuracy of Medical Images Classification Using Data Augmentation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(12), pp.167-174
  • DOI : 10.9708/jksci.2023.28.12.167
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 13, 2023
  • Accepted : December 4, 2023
  • Published : December 29, 2023

Cheon-Ho Park 1 Min-Guan Kim 1 Seung-Zoon Lee 1 Jeong-Il Choi 1

1숭실대학교

Accredited

ABSTRACT

This paper attempted to improve the accuracy of the colorectal cancer diagnosis model using image data augmentation in convolutional neural network. Image data augmentation was performed by flipping, rotation, translation, shearing and zooming with basic image manipulation method. This study split 4000 training data and 1000 test data for 5000 image data held, the model is learned by adding 4000 and 8000 images by image data augmentation technique to 4000 training data. The evaluation results showed that the clasification accuracy for 4000, 8000, and 12,000 training data were 85.1%, 87.0%, and 90.2%, respectively, and the improvement effect depending on the increase of image data was confirmed.

Citation status

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