Cargando…
Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening
Since the start of the COVID-19 pandemic at the end of 2019, more than 170 million patients have been infected with the virus that has resulted in more than 3.8 million deaths all over the world. This disease is easily spreadable from one person to another even with minimal contact, even more for th...
Autores principales: | Zulkifley, Mohd Asyraf, Abdani, Siti Raihanah, Zulkifley, Nuraisyah Hani, Shahrimin, Mohamad Ibrani |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394651/ https://www.ncbi.nlm.nih.gov/pubmed/34441431 http://dx.doi.org/10.3390/diagnostics11081497 |
Ejemplares similares
-
Group and Shuffle Convolutional Neural Networks with Pyramid Pooling Module for Automated Pterygium Segmentation
por: Abdani, Siti Raihanah, et al.
Publicado: (2021) -
Computer-Assisted Pterygium Screening System: A Review
por: Abdani, Siti Raihanah, et al.
Publicado: (2022) -
A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
por: Thanoon, Mohammad A., et al.
Publicado: (2023) -
Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks
por: Stofa, Marzuraikah Mohd, et al.
Publicado: (2022) -
Automated Glaucoma Screening and Diagnosis Based on Retinal Fundus Images Using Deep Learning Approaches: A Comprehensive Review
por: Zedan, Mohammad J. M., et al.
Publicado: (2023)