Cargando…
IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans
The ongoing COVID-19 (novel coronavirus disease 2019) pandemic has triggered a global emergency, resulting in significant casualties and a negative effect on socioeconomic and healthcare systems around the world. Hence, automatic and fast screening of COVID-19 infections has become an urgent need of...
Autor principal: | Shorfuzzaman, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216100/ http://dx.doi.org/10.1007/s00607-021-00971-5 |
Ejemplares similares
-
IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach
por: Mukherjee, Rajendrani, et al.
Publicado: (2021) -
An IoT-enabled smart health care system for screening of COVID-19 with multi layers features fusion and selection
por: Ahmed, Imran, et al.
Publicado: (2022) -
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
por: Zhang, Yu-Dong, et al.
Publicado: (2020) -
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
por: Tsogbaatar, Enkhtur, et al.
Publicado: (2020) -
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
por: Shankar, K., et al.
Publicado: (2021)