Cargando…
Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach
In medical practice, all decisions, as for example the diagnosis based on the classification of images, must be made reliably and effectively. The possibility of having automatic tools helping doctors in performing these important decisions is highly welcome. Artificial Intelligence techniques, and...
Autores principales: | De Falco, Ivanoe, De Pietro, Giuseppe, Sannino, Giovanna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741589/ https://www.ncbi.nlm.nih.gov/pubmed/35035108 http://dx.doi.org/10.1007/s00521-021-06806-w |
Ejemplares similares
-
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
por: Paul, Ashis, et al.
Publicado: (2022) -
CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image
por: Zhu, Haihua, et al.
Publicado: (2022) -
Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms
por: Chang, Victor, et al.
Publicado: (2022) -
VIRFIM: an AI and Internet of Medical Things-driven framework for healthcare using smart sensors
por: Khowaja, Sunder Ali, et al.
Publicado: (2021) -
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions
por: Qayyum, Abdul, et al.
Publicado: (2021)