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COVID-19 Diagnosis Results with Deep Learning and ResNet50

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19 Feb 2021CPOL2 min read 6K   40  
In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.
Here we’ll compare the results we’ve obtained with those that had been published for alternative models, as well as analyze its performance on a new dataset.


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This article is part of the series 'COVID-19 Diagnosis with Deep Learning View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By
Lebanon Lebanon
Dr. Helwan is a machine learning and medical image analysis enthusiast.

His research interests include but not limited to Machine and deep learning in medicine, Medical computational intelligence, Biomedical image processing, and Biomedical engineering and systems.

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