Cargando…
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very important to prevent the fast spread of such disease. Thus, reducing negative effects that influenced many industrial sectors, especially healthcare. Artificial intelligence techniques in particular deep learnin...
Autor principal: | Attallah, Omneya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005822/ https://www.ncbi.nlm.nih.gov/pubmed/35433024 http://dx.doi.org/10.1177/20552076221092543 |
Ejemplares similares
-
A deep learning-based diagnostic tool for identifying various
diseases via facial images
por: Attallah, Omneya
Publicado: (2022) -
Towards an effective framework for integrating patient-reported outcomes in electronic health records
por: Wang, Panzhang, et al.
Publicado: (2022) -
A Survey on Changes to the Canadian Anatomical Pathology
Certification Examination Due to Coronavirus Disease 2019 and Implications for
Competency-Based Medical Education
por: Baranova, Katherina, et al.
Publicado: (2021) -
Telehealth-based interventions on lifestyle, body mass index, and
glucose concentration in university staff during the coronavirus disease 2019
pandemic: A pre-experimental study
por: Marquez, Neidis M., et al.
Publicado: (2022) -
Hyponatremia in Coronavirus Disease-19 Patients: A Retrospective
Analysis
por: Machiraju, Phani Krishna, et al.
Publicado: (2021)