Diagnosis of COVID-19 disease based on a modified convolutional neural network on the example of lung X-rays
As a result of the study, a machine learning model based on a modified convolutional neural network was developed to diagnose COVID-19 lesions from lung X-rays. Due to the improvement of the network architecture, it was possible to obtain a classification accuracy of 91%. The developed model can be...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Asian Research Publishing Network (ARPN)
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28757/2/0248721112023431.pdf http://eprints.utem.edu.my/id/eprint/28757/ https://www.arpnjournals.org/jeas/research_papers/rp_2023/jeas_0623_9226.pdf https://doi.org/10.59018/0623171 |
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