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...
Κύριοι συγγραφείς: | Pir Masoom Shah, Faizan Ullah, Dilawar Shah, Abdullah Gani, Maple, Carsten, Yulin Wang, Shahid, Mohammad Abrar, Saif Ul Islam |
---|---|
Μορφή: | Άρθρο |
Γλώσσα: | English English |
Έκδοση: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
Θέματα: | |
Διαθέσιμο Online: | 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 |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
A comparison study of deep CNN models for brain tumor MRI image classification
ανά: Muhammad Imran, Mohd Ridzuan
Έκδοση: (2021) -
Deep learning based classification of wrist cracks from X-ray imaging
ανά: Jahangir Jabbar, κ.ά.
Έκδοση: (2022) -
Extraction of biological hydroxyapatite from bovine bone for
biomedical applications
ανά: Mohd Pu"ad, N.A.S, κ.ά.
Έκδοση: (2020) -
Point-of-care ultrasound in pre-bronchoscopy assessment of acute dyspnea: A case of concurrent massive pulmonary embolism and deep vein thrombosis
ανά: Mohammad Amirul Shahril Ahmad, κ.ά.
Έκδοση: (2022) -
Skeletal manifestations of congenital syphilis: rare but clinically relevant
ανά: Pg Mohammad Nizam Pg Mohammad Hussein, κ.ά.
Έκδοση: (2021)