222 citations · 297 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 75 cited
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?
Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik +3
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 compu…
cs.CV2019★ 222 cited
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
Younghak Shin, Hemin Ali Qadir, Lars Aabakken +2
Automatic 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 po…