Cargando…
AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions
BACKGROUND AND OBJECTIVE: In recent years, Artificial Intelligence has had an evident impact on the way research addresses challenges in different domains. It has proven to be a huge asset, especially in the medical field, allowing for time-efficient and reliable solutions. This research aims to spo...
Autores principales: | Karthik, R., Menaka, R., Hariharan, M., Kathiresan, G.S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AGBM. Published by Elsevier Masson SAS.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312058/ https://www.ncbi.nlm.nih.gov/pubmed/34336141 http://dx.doi.org/10.1016/j.irbm.2021.07.002 |
Ejemplares similares
-
AI in Health: State of the Art, Challenges, and Future Directions
por: Wang, Fei, et al.
Publicado: (2019) -
AI in Medical Imaging Informatics: Current Challenges and Future Directions
por: Panayides, Andreas S., et al.
Publicado: (2020) -
Efficacy and Challenges in the Treatment of Diastasis Recti Abdominis—A Scoping Review on the Current Trends and Future Perspectives
por: Radhakrishnan, Menaka, et al.
Publicado: (2022) -
Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN
por: Karthik, R., et al.
Publicado: (2021) -
Computing: data challenge for the future
por: Dr. KLIMENTOV, Alexei
Publicado: (2014)