The Computer-aided Diagnostics of Gastric Lesions by using High Definition Narrow-band Imaging Endoscopy and Real-time Pattern Recognition System

K. Yu. Erendzhenova, O. A. Kulagina, R. M. Kadushnikov, T. V. Zarubina

2018

Abstract

High Definition (HD) and Magnified Narrow band imaging endoscopy (ME-NBI) allowed to recognizetypes of gastric lesions according modified VS-classification by professor Yao K., becausethe parameters to describe regular or irregularvascular or microsurface pattern and demarcation line in lesionswere formalized. In this work endoscopic differential criteria of benign and neoplastic epithelial lesions of stomach were obtained. Based on them classification algorithm for the real-time processing of narrow–band endoscopic images with a highly productive distributed intellectual analytic decision support system for multiscale endoscopic diagnostics is presented. We also created the electronic atlas and database to collect high resolution endoscopic images, applied and proved the differential diagnosis of gastric lesions through the computer analysis. The algorithm consistentlyused scale– invariant feature transform detector, computation of gastric mucosa pit–pattern skeletons, “Bag of visual words” method, and K–means method for key pointsclustering. Resulting classification algorithm is completely automated, performed real-time analysis, and did not require preliminary selection of interest area. Image classification accuracy was 85%.

Paper Citation

in Harvard Style

Erendzhenova K., Kulagina O., Kadushnikov R. and Zarubina T. (2018). The Computer-aided Diagnostics of Gastric Lesions by using High Definition Narrow-band Imaging Endoscopy and Real-time Pattern Recognition System. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF; ISBN 978-989-758-281-3, SciTePress, pages 615-620. DOI: 10.5220/0006724906150620

in Bibtex Style

@conference{healthinf18,
author={K. Yu. Erendzhenova and O. A. Kulagina and R. M. Kadushnikov and T. V. Zarubina},
title={The Computer-aided Diagnostics of Gastric Lesions by using High Definition Narrow-band Imaging Endoscopy and Real-time Pattern Recognition System},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF},
year={2018},
pages={615-620},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006724906150620},
isbn={978-989-758-281-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF
TI - The Computer-aided Diagnostics of Gastric Lesions by using High Definition Narrow-band Imaging Endoscopy and Real-time Pattern Recognition System
SN - 978-989-758-281-3
AU - Erendzhenova K.
AU - Kulagina O.
AU - Kadushnikov R.
AU - Zarubina T.
PY - 2018
SP - 615
EP - 620
DO - 10.5220/0006724906150620
PB - SciTePress