Cargando…
Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images
Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR) imaging may have important therapeutic implications and reduce mortality. In fact, many respiratory diseases have a serious impact on the health and lives of people. However, certain types of infections may in...
Autores principales: | Bourouis, Sami, Alharbi, Abdullah, Bouguila, Nizar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321244/ https://www.ncbi.nlm.nih.gov/pubmed/34460578 http://dx.doi.org/10.3390/jimaging7010007 |
Ejemplares similares
-
Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures
por: Bourouis, Sami, et al.
Publicado: (2021) -
Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition
por: Alharithi, Fahd, et al.
Publicado: (2021) -
Mixture models and applications
por: Bouguila, Nizar, et al.
Publicado: (2019) -
Local Bayesian Dirichlet mixing of imperfect models
por: Kejzlar, Vojtech, et al.
Publicado: (2023) -
Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling
por: Gilholm, Patricia, et al.
Publicado: (2020)