Deep GRU-CNN model for COVID-19 detection from chest X-rays data
In the current era, data is growing exponentially due to advancements in smart devices. Data scientists apply a variety of learning-based techniques to identify underlying patterns in the medical data to address various health-related issues. In this context, automated disease detection has now beco...
| Auteurs principaux: | , , , , , , , , |
|---|---|
| Format: | Article |
| Langue: | English English |
| Publié: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
| Sujets: | |
| Accès en ligne: | https://eprints.ums.edu.my/id/eprint/32613/1/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data.pdf https://eprints.ums.edu.my/id/eprint/32613/3/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data%20_ABSTRACT.pdf |