Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review

Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review

The rapid spread of COVID-19 increased the need for speedy diagnostic tools, which led scientists to conduct extensive research on deep learning (DL) applications that use chest imaging, such as chest X-ray (CXR) and computed tomography (CT). This review examines the development and performance of D...

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Bibliographic Details
Main Authors: Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
artificial intelligence
convolutional neural networks
vision transformers
chest X-ray
computer tomography
diagnosis
Online Access:https://www.mdpi.com/2075-4418/15/14/1830
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https://www.mdpi.com/2075-4418/15/14/1830

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