Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains
Many countries are severely affected by COVID-19, and various casualties have been reported. Most countries have implemented full and partial lockdowns to control COVID-19. Paramedical employee infections are always a threatening discovery. Front-line paramedical employees might initially be at risk...
Saved in:
Main Authors: | Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/1296755 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Intelligent Medical Imaging Approach for Various Blood Structure Classifications
by: Madallah Alruwaili
Published: (2021-01-01) -
Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning
by: Jing An, et al.
Published: (2020-01-01) -
Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis
by: Jiezhou Huang
Published: (2024-01-01) -
Pitfalls in the Radiological Diagnosis of Inflammatory Bowel Disease
by: GP LeBrun
Published: (1990-01-01) -
Dysmorphic Short Stature: Radiological Diagnosis of Trichorhinophalangeal Syndrome
by: Corina Ramona Nicolescu, et al.
Published: (2018-01-01)