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AI-Driven Multimodal Deep Learning for COVID-19 Prediction: A Comparative Analysis of Pre-Trained vs. Custom Models Using Cough, X-ray, and CT Scan Datasets

2024-12-04

Abstract excerpt

COVID-19, a respiratory illness that mostly attacks the human lungs emerged in 2019 and quickly became a global health crisis. Its fast transmission has necessitated the creation of effective tools that could aid in its classification. In this paper, we present an artificial intelligence multimodal deep learning model that leverages X-ray, CT-scan, and cough signals to classify COVID-19 accurately. This paper meti...

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Literature Corpus work
c03766a1-e6fc-5f0e-842b-e016afc21e5f
DOI
10.20944/preprints202412.0354.v1
Open publication

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AI-Driven Multimodal Deep Learning for COVID-19 Prediction: A Comparative Analysis of Pre-Trained vs. Custom Models Using Cough, X-ray, and CT Scan DatasetsDOI 10.20944/preprints202412.0354.v1
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