Cargando…
Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
COVID-19 is a contagious infection that has severe effects on the global economy and our daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and radiologists. In this study, we use the deep learning network AlexNet as the backbone, and enhance it with the following...
Autores principales: | Zhang, Xin, Lu, Siyuan, Wang, Shui-Hua, Yu, Xiang, Wang, Su-Jing, Yao, Lun, Pan, Yi, Zhang, Yu-Dong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035772/ https://www.ncbi.nlm.nih.gov/pubmed/35496726 http://dx.doi.org/10.1007/s11390-020-0679-8 |
Ejemplares similares
-
Design ensemble deep learning model for pneumonia disease classification
por: El Asnaoui, Khalid
Publicado: (2021) -
COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting
por: Zhang, Yu-Dong, et al.
Publicado: (2021) -
Enhancing short-term crime prediction with human mobility flows and deep learning architectures
por: Wu, Jiahui, et al.
Publicado: (2022) -
Diagnosis of cerebral microbleed via VGG and extreme learning machine trained by Gaussian map bat algorithm
por: Lu, Siyuan, et al.
Publicado: (2023) -
A survey on the interpretability of deep learning in medical diagnosis
por: Teng, Qiaoying, et al.
Publicado: (2022)