1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
The Power of Certainty: How Confident Models Lead to Better Segmentation
Tugberk Erol, Tuba Caglikantar, Duygu Sarikaya
Deep learning models have been proposed for automatic polyp detection and precise segmentation of polyps during colonoscopy procedures. Although these state-of-the-art models achie…
eess.IV2022
An Efficient Polyp Segmentation Network
Tugberk Erol, Duygu Sarikaya
Cancer is a disease that occurs as a result of the uncontrolled division and proliferation of cells. Colon cancer is one of the most common types of cancer in the world. Polyps tha…
eess.IV2022★ 1 cited
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training
Tugberk Erol, Duygu Sarikaya
Deep learning models are used to minimize the number of polyps that goes unnoticed by the experts and to accurately segment the detected polyps during interventions. Although state…