Polyp Localization in Colonoscopy Images Using Vessel Density
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
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. © 2019 Elsevier B.V., All rights reserved.
Description
Dogan, Refika Sultan/0000-0001-8416-1765;
ORCID
Keywords
Blood Vessel, Colonoscopy, Image Processing, Polyp Localization, Vascularization, Biomedical Engineering, Blood Vessels, Endoscopy, Blood Vessel Extraction, Colonoscopy, Image Sets, New Approaches, Polyp Localization, Pre-Processing, Vascularization, Vessel Boundaries, Image Processing
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
1
Source
-- 2018 Medical Technologies National Congress, TIPTEKNO 2018 -- Magusa -- 144203
Volume
Issue
Start Page
1
End Page
4
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Scopus : 1
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Mendeley Readers : 2
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1
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1
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2
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