Journal of Advanced Computational Intelligence and Intelligent Informatics
Online ISSN : 1883-8014
Print ISSN : 1343-0130
ISSN-L : 1883-8014
Regular Papers
Quantitative Evaluation of Vitreous Opacities Using Motion Video Through Slit-Lamp Examination
Shota FurukawaWakana MatsuiNoriaki SuetakeEiji UchinoChiemi YamashiroRyu TakabatakeMakiko TakahashiKazuhiro Kimura
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JOURNAL OPEN ACCESS

2022 Volume 26 Issue 1 Pages 28-31

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Abstract

This study proposed a quantitative evaluation method for vitreous opacities using motion video. The proposed method focused on moving turbidity in the vitreous. The moving turbidity appeared as an inter-frame difference, which was calculated from two consecutive frames. Therefore, the degree of vitreous opacity was estimated using this inter-frame difference. The proposed method was applied in the experiments to actual motion videos obtained using slit-lamp examination. The effectiveness of method was confirmed using the t-test and linear discriminant method.

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