Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network

Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network

Coronavirus (SARS-CoV-2) is a novel global pandemic, which requires rapid and accurate identification techniques to curb its spread. COVID-19, the disease induced by the virus, causes severe respiratory complications, necessitating advanced diagnostic tools for early detection. Recent research indic...

Full description

Saved in:
Bibliographic Details
Main Authors: Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
COVID-19
image segmentation
C-GAN
deep neural network (DNN)
key point extraction
classification models
Online Access:https://ieeexplore.ieee.org/document/10792879/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items