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Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography

BACKGROUND: Chest computed tomography (CT) has a high sensitivity for detecting COVID-19 lung involvement and is widely used for diagnosis and disease monitoring. We proposed a new image classification model, swin-textural, that combined swin-based patch division with textual feature extraction for...

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Detalles Bibliográficos
Autores principales:	Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Yeong, Chai Hong, Acharya, U. Rajendra
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Authors. Published by Elsevier Ltd. 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804964/ https://www.ncbi.nlm.nih.gov/pubmed/36618887 http://dx.doi.org/10.1016/j.imu.2022.101158

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