Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images
Early detection of abnormalities in chest X-rays is essential for COVID-19 diagnosis and analysis. It can be effective for controlling pandemic spread by contact tracing, as well as for effective treatment of COVID-19 infection. In the proposed work, we presented a deep hybrid learning-based framewo...
Main Authors: | Ali Alqahtani, Mirza Mumtaz Zahoor, Rimsha Nasrullah, Aqil Fareed, Ahmad Afzaal Cheema, Abdullah Shahrose, Muhammad Irfan, Abdulmajeed Alqhatani, Abdulaziz A. Alsulami, Maryam Zaffar, Saifur Rahman |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Life |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1729/12/11/1709 |
Similar Items
-
A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection
by: Najam-ur Rehman, et al.
Published: (2021-09-01) -
Lesion detection of chest X-Ray based on scalable attention residual CNN
by: Cong Lin, et al.
Published: (2023-01-01) -
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection
by: Muhammad Abdullah Shah Bukhari, et al.
Published: (2025-02-01) -
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
by: Tawsifur Rahman, et al.
Published: (2020-05-01) -
Deep GRU-CNN Model for COVID-19 Detection From Chest X-Rays Data
by: Pir Masoom Shah, et al.
Published: (2022-01-01)