dc.contributor.author | Dogan, Refika Sultan | |
dc.contributor.author | Yilmaz, Bulent | |
dc.date.accessioned | 2021-05-21T08:25:52Z | |
dc.date.available | 2021-05-21T08:25:52Z | |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 978-1-5386-6852-8 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12573/734 | |
dc.description.abstract | In this paper, we present a new approach for polyp localization in colonoscopy images. This approach is based on the determination of the polyp location using the vessel density in colon images. Primarily, we used pre-processing procedures on the colon images, and then blood vessel extraction techniques were employed. Later, segmentation of the vessel boundaries was performed. With the help of vessel boundaries we calculated the vessel density, and used this for the localization of the polyps. We tested the success of this approach using a publicly available image set (CVC-ClinicDB database). This database consisted of 612 images from 29 different polyps. This approach succeeds in correct detection of 24 out of 29 different polyps. | en_US |
dc.description.sponsorship | Biyomedikal Klinik Muhendisligi Dernegi; Izmir Katip Celebi Univ, Biyomedikal Muhendisligi Bolumu | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | image processing | en_US |
dc.subject | colonoscopy | en_US |
dc.subject | polyp localization | en_US |
dc.subject | blood vessel | en_US |
dc.subject | vascularization | en_US |
dc.title | Polyp Localization in Colonoscopy Images Using Vessel Density | en_US |
dc.type | conferenceObject | en_US |
dc.contributor.department | AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.authorID | 0000-0001-8416-1765 | en_US |
dc.relation.journal | Conference: | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |