COVID-19 image transmission using convolutional neural networks based algorithms for medical applications
| Autor: | Karanam Santoshachandra Rao, Gangadhar Ch, C.M. Sulaikha, Syed Mutahar Aaqib, Shaheena Kv, Nama Ajay Nagendra |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network business.industry Computer science Mechanical Engineering 02 engineering and technology Geotechnical Engineering and Engineering Geology Encryption Convolutional neural network Health informatics Image (mathematics) 020901 industrial engineering & automation Transmission (telecommunications) Mechanics of Materials 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Secure transmission Civil and Structural Engineering |
| Zdroj: | World Journal of Engineering. 19:183-188 |
| ISSN: | 1708-5284 |
| DOI: | 10.1108/wje-03-2021-0158 |
| Popis: | Purpose COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems. Design/methodology/approach Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated. Originality/value The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images. |
| Databáze: | OpenAIRE |
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