A Hybrid Deep Transfer Learning-based Approach for COVID-19 Classification in Chest X-ray Images
The COVID-19 pandemic is a severe public health hazard. Hence, proper and early diagnosis is necessary to control the infection progression. We can diagnose this disease by employing a chest X-ray (CXR) screening, which is ordinarily cheaper and less harmful than a Computed Tomography scan (CT scan)...
Saved in:
Main Authors: | Khosro Rezaee, Afsoon Badiei, Hossein Ghayoumi Zadeh, Saeed Meshgini |
---|---|
Format: | Article |
Language: | English |
Published: |
Amirkabir University of Technology
2021-12-01
|
Series: | AUT Journal of Electrical Engineering |
Subjects: | |
Online Access: | https://eej.aut.ac.ir/article_4305_5abe9f39d2ef93d98d371b47e2bc71a9.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Multi-Label Chest X-Ray Classification Using an Improved Ranking Loss
by: Muhammad Shehzad Hanif, et al.
Published: (2025-05-01) -
The value of chest x-ray in the diagnosis of aortic coarctation
by: I. Z. Korobkova, et al.
Published: (2025-03-01) -
RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays
by: Hanan Aljuaid, et al.
Published: (2025-07-01) -
Discordance Between Clinical Status and Chest X-Ray (CXR) in COVID-19 Patient with Asymptomatic Transmission in Jakarta
by: Erlina Burhan, et al.
Published: (2020-10-01) -
Discordance Between Clinical Status and Chest X-Ray (CXR) in COVID-19 Patient with Asymptomatic Transmission in Jakarta
by: Erlina Burhan, et al.
Published: (2020-10-01)