Cargando…
COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers
The steady spread of the 2019 Coronavirus disease has brought about human and economic losses, imposing a new lifestyle across the world. On this point, medical imaging tests such as computed tomography (CT) and X-ray have demonstrated a sound screening potential. Deep learning methodologies have ev...
Autores principales: | Al Rahhal, Mohamad Mahmoud, Bazi, Yakoub, Jomaa, Rami M., AlShibli, Ahmad, Alajlan, Naif, Mekhalfi, Mohamed Lamine, Melgani, Farid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876295/ https://www.ncbi.nlm.nih.gov/pubmed/35207797 http://dx.doi.org/10.3390/jpm12020310 |
Ejemplares similares
-
Contrasting EfficientNet, ViT, and gMLP for COVID-19 Detection in Ultrasound Imagery
por: Rahhal, Mohamad Mahmoud Al, et al.
Publicado: (2022) -
Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras
por: Malek, Salim, et al.
Publicado: (2017) -
Vision–Language Model for Visual Question Answering in Medical Imagery
por: Bazi, Yakoub, et al.
Publicado: (2023) -
Transformers and Generative Adversarial Networks for Liveness Detection in Multitarget Fingerprint Sensors
por: Sandouka, Soha B., et al.
Publicado: (2021) -
Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation
por: Mekhalfi, Mohamed Lamine, et al.
Publicado: (2020)