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...

詳細記述

書誌詳細

主要な著者:	Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Access
主題:	COVID-19 image segmentation C-GAN deep neural network (DNN) key point extraction classification models
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10792879/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!