[PDF][PDF] Covid-19 detection from chest x-ray images using advanced deep learning techniques

S Mahajan, A Raina, M Abouhawwash… - Computers …, 2022 - cdn.techscience.cn
Like the Covid-19 pandemic, smallpox virus infection broke out in the last century, wherein
500 million deaths were reported along with enormous economic loss. But unlike smallpox …

Predicting COVID-19 Cases on a Large Chest X-Ray Dataset Using Modified Pre-trained CNN Architectures

A Karac - Applied Computer Systems, 2023 - sciendo.com
Therefore, it has had very destructive effects in many areas worldwide. Because X-ray
images are an easily accessible, fast, and inexpensive method, they are widely used …

Optimized Deep CNN Model for Enhanced COVID-19 Detection

SM Hashemipoor - 2024 - search.proquest.com
This research presented an AI-driven methodology for precise COVID-19 detection in
medical diagnostic imaging using chest X-ray images. The primary focus was on developing …

The enhancement of quantum machine learning models via quantum Fourier transform in near-term applications

E Payares, JC Martínez - AIP Conference Proceedings, 2023 - pubs.aip.org
Quantum computers are here, and the search for applications and use of these allow us to
overcome the limits that today's hardware information processing gives us is constantly …

A Novel Preprocessing Technique to Aid the Detection of Infected Areas of CT Images in COVID-19 Patients Artificial Intelligence (AI) for Communication Systems

J Kalaivani, AS Arunachalam… - … Conference on Trends …, 2024 - ieeexplore.ieee.org
An innovative preprocessing method for discerning infected areas in CT images of COVID-
19 is described in this abstract. The methodology being suggested exploits the capabilities …