Cargando…
FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
Coronavirus (COVID-19) has created an unprecedented global crisis because of its detrimental effect on the global economy and health. COVID-19 cases have been rapidly increasing, with no sign of stopping. As a result, test kits and accurate detection models are in short supply. Early identification...
Autores principales: | Ho, Trang-Thi, Tran, Khoa-Dang, Huang, Yennun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147951/ https://www.ncbi.nlm.nih.gov/pubmed/35632136 http://dx.doi.org/10.3390/s22103728 |
Ejemplares similares
-
SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays
por: Makkar, Aaisha, et al.
Publicado: (2023) -
ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs
por: Riedel, Pascal, et al.
Publicado: (2023) -
Expanded protein information at SGD: new pages and proteome browser
por: Nash, Robert, et al.
Publicado: (2007) -
Federated learning for COVID-19 screening from Chest X-ray images
por: Feki, Ines, et al.
Publicado: (2021) -
Gene Ontology annotations at SGD: new data sources and annotation methods
por: Hong, Eurie L., et al.
Publicado: (2008)