COVI<sup>3</sup>D: Automatic COVID-19 CT Image-Based Classification and Visualization Platform Utilizing Virtual and Augmented Reality Technologies

COVI<sup>3</sup>D: Automatic COVID-19 CT Image-Based Classification and Visualization Platform Utilizing Virtual and Augmented Reality Technologies

Recently many studies have shown the effectiveness of using augmented reality (AR) and virtual reality (VR) in biomedical image analysis. However, they are not automating the COVID level classification process. Additionally, even with the high potential of CT scan imagery to contribute to research a...

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Bibliographic Details
Main Authors: Samir Benbelkacem, Adel Oulefki, Sos Agaian, Nadia Zenati-Henda, Thaweesak Trongtirakul, Djamel Aouam, Mostefa Masmoudi, Mohamed Zemmouri
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
3D COVID-19 visualization
voxel-based classification
double logarithmic entropy-based segmentation
virtual reality (VR)
augmented reality (AR)
Online Access:https://www.mdpi.com/2075-4418/12/3/649

Internet

https://www.mdpi.com/2075-4418/12/3/649

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