Colonic Polyp Classification using Projection Image and Convolutional Neural Network

Tulum G., Osman O., BOLAT B., DANDİN Ö., ERGIN T., CÜCE F.

International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), İstanbul, Turkey, 24 - 26 April 2019, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ebbt.2019.8741701
  • City: İstanbul
  • Country: Turkey
  • Keywords: Polyp classification, convolutional neural network, CAD
  • Akdeniz University Affiliated: Yes

Abstract

Now adays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection of polyps. 2D projection images of polyps were used as the input of convolutional neural network. Our classification system performs at 91.89% sensitivity for polyps with 0 false positives per dataset.