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Showing results 1-4 of 4

2020
1 Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko.
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Analysis 2020 ;Volume 68. p. -
UiO NTNU OUS Untitled
 
2019
2 Qadir, Hemin Ali; Balasingham, Ilangko; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Shin, Younghak.
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. IEEE journal of biomedical and health informatics 2019 ;Volume 24.(1) p. 180-193
OUS NTNU UiO Untitled
 
3 Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko.
Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better?. International Symposium on Medical Information and Communication Technology 2019 ;Volume 2019-May. p. 1-6
UiO OUS NTNU Untitled
 
4 Qadir, Hemin Ali; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko.
A framework with a fully convolutional neural network for semi-automatic colon polyp annotation. IEEE Access 2019 ;Volume 7. p. 169537-169547
UiO OUS NTNU Untitled