A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity

A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity

Abstract Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severity requires a radiologist with significant...

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Bibliographic Details
Main Authors: Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, Mahdiyeh Eslami
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Deep convolutional neural network
COVID-19
Dilated concept
Inception-ResNet
Lung involvement
Online Access:https://doi.org/10.1038/s41598-025-91322-3
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https://doi.org/10.1038/s41598-025-91322-3

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