Quantification of Blood Flow Velocity in the Human Conjunctival Microvessels Using Deep Learning-Based Stabilization Algorithm

Quantification of Blood Flow Velocity in the Human Conjunctival Microvessels Using Deep Learning-Based Stabilization Algorithm

The quantification of blood flow velocity in the human conjunctiva is clinically essential for assessing microvascular hemodynamics. Since the conjunctival microvessel is imaged in several seconds, eye motion during image acquisition causes motion artifacts limiting the accuracy of image segmentatio...

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Bibliographic Details
Main Authors: Hang-Chan Jo, Hyeonwoo Jeong, Junhyuk Lee, Kyung-Sun Na, Dae-Yu Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
blood flow velocity quantification
conjunctival microvessel
deep learning
image processing
motion correction
optical imaging system
Online Access:https://www.mdpi.com/1424-8220/21/9/3224

Internet

https://www.mdpi.com/1424-8220/21/9/3224

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