Cargando…
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features
The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps doctors to manage patients in high workload conditions. In addition, it prevents the spread of this pandemic virus. Computer-aided diagnosis (CAD) based on artificial intelligence (AI) techniques can be used to...
Autores principales: | Ragab, Dina A., Attallah, Omneya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924442/ https://www.ncbi.nlm.nih.gov/pubmed/33816957 http://dx.doi.org/10.7717/peerj-cs.306 |
Ejemplares similares
-
Kinship verification and recognition based on handcrafted and deep learning feature-based techniques
por: Nader, Nermeen, et al.
Publicado: (2021) -
MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning
por: Attallah, Omneya
Publicado: (2023) -
An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT
por: Shalaby, Ahmed, et al.
Publicado: (2021) -
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks
por: Attallah, Omneya, et al.
Publicado: (2020) -
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers
por: Ragab, Dina A., et al.
Publicado: (2019)