Now showing items 1-3 of 3

  • Qadir, Hemin Ali; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Deep learning has delivered promising results for automatic polyp detection and segmentation. However, deep learning is known for being data-hungry, and its performance is correlated with the amount of available training ...
  • Shin, Younghak; Qadir, Hemin Ali Qadir; Aabakken, Lars; Bergsland, Jacob; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Automatic image detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various polyp-like mimics during colonoscopy. ...
  • Qadir, Hemin Ali Qadir; Shin, Younghak; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem ...