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

Internet

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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