Identifying COVID-19-Infected Segments in Lung CT Scan Through Two Innovative Artificial Intelligence-Based Transformer Models

Identifying COVID-19-Infected Segments in Lung CT Scan Through Two Innovative Artificial Intelligence-Based Transformer Models

Introduction: Automatic systems based on Artificial intelligence (AI) algorithms have made significant advancements across various domains, most notably in the field of medicine. This study introduces a novel approach for identifying COVID-19-infected regions in lung computed tomography (CT) scan t...

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Bibliographic Details
Main Authors: Zeinab Momeni pour, Ali Asghar Beheshti Shirazi
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2024-12-01
Series:Archives of Academic Emergency Medicine
Subjects:
COVID-19
Segmentation
Self-Attention
Squeeze and Excitation
Swin Transformer
Vision Transformer
Online Access:https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2515
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https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2515

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