Cargando…
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
With the outbreak of COVID-19, medical imaging such as computed tomography (CT) based diagnosis is proved to be an effective way to fight against the rapid spread of the virus. Therefore, it is important to study computerized models for infectious detection based on CT imaging. New deep learning-bas...
Autores principales: | Li, Daqiu, Fu, Zhangjie, Xu, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652058/ https://www.ncbi.nlm.nih.gov/pubmed/34764564 http://dx.doi.org/10.1007/s10489-020-02002-w |
Ejemplares similares
-
Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder
por: Xu, Xiaowei, et al.
Publicado: (2021) -
Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
por: Li, Zexin, et al.
Publicado: (2020) -
DFTSA-Net: Deep Feature Transfer-Based Stacked Autoencoder Network for DME Diagnosis
por: Atteia, Ghada, et al.
Publicado: (2021) -
Stacked Autoencoders for the P300 Component Detection
por: Vařeka, Lukáš, et al.
Publicado: (2017) -
An Improved Stacked Autoencoder for Metabolomic Data Classification
por: Fan, Xiaojing, et al.
Publicado: (2021)