Cargando…
Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients
A new artificial intelligence (AI) supported T-Ray imaging system designed and implemented for non-invasive and non-ionizing screening for coronavirus-affected patients. The new system has the potential to replace the standard conventional X-Ray based imaging modality of virus detection. This resear...
Autores principales: | Biswas, Swarnava, Adhikari, Saikat, Chawla, Riddhi, Maiti, Niladri, Bhatia, Dinesh, Phukan, Pranjal, Mukherjee, Moumita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296229/ https://www.ncbi.nlm.nih.gov/pubmed/35873921 http://dx.doi.org/10.1016/j.imu.2022.101025 |
Ejemplares similares
-
Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
por: Biswas, Nupur, et al.
Publicado: (2020) -
Artificial intelligence enabled applications in kidney disease
por: Chaudhuri, Sheetal, et al.
Publicado: (2020) -
Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain
por: Aqeel, Ibrahim, et al.
Publicado: (2023) -
Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
por: Sharma, Arun, et al.
Publicado: (2020) -
Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases
por: Panjeta, Manisha, et al.
Publicado: (2023)