• Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better? 

      Qadir, Hemin Ali Qadir; Shin, Younghak; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Journal article; 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 ...
    • Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction 

      Qadir, Hemin Ali Qadir; Shin, Younghak; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Peer reviewed; Journal article, 2020)
      To decrease colon polyp miss-rate during colonoscopy, a real-time detection system with high accuracy is needed. Recently, there have been many efforts to develop models for real-time polyp detection, but work is still ...