Home // IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Detecting Venous Disorders via Near-Infrared Imaging: Observation of Varicose Vein Development

Authors:
Huseyin A. Erdem
Semih Utku

Keywords: vein imaging; near-infrared light; telangiectasia; varicose; YOLOv3

Abstract:
In this study, a method by which progression stages of venous disorders can be detected using near-infrared vein images is proposed. For this purpose, the superficial vein surveillance system, which was developed within the scope of the ongoing doctoral thesis, was re-trained to find the telangiectasia and varicose vein patterns in the images. The trainings were carried out using the You Only Look Once version 3 algorithm. Confidence values of 0.90 and above were achieved in object detection experiments performed with artificial telangiectasia and varicose vein patterns. According to the test results, the developed system can detect Chronic Venous Disorder patterns with Accuracy Rate (1), Misclassification Rate (0), Precision (1), Prevalence (0.5) and F-Score (1) values. With this system, the patient and physician will be informed about the development of venous disorders at an early stage and a pre-diagnosis data will be created for the physician.

Pages: 65 to 68

Copyright: Copyright (c) IARIA, 2022

Publication date: July 24, 2022

Published in: conference

ISBN: 978-1-68558-017-9

Location: Nice, France

Dates: from July 24, 2022 to July 28, 2022