Automated COVID-19 detection with convolutional neural networks

Abstract This paper focuses on addressing the urgent need for efficient and accurate automated screening tools for COVID-19 detection. Inspired by existing research efforts, we propose two framework models to tackle this challenge. The first model combines a conventional CNN architecture as a featur...

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Bibliographic Details
Main Authors: Aphelele Dumakude, Absalom E. Ezugwu
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-37743-4