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Improvement of the Process of Diagnosing Patient’s Condition via Computer Tomography Lung Scans Using Neural Networks

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Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2023)

Abstract

The aim of the research paper is improvement of the process of diagnosing patient’s condition via Computer Tomography lung scans using Neural Networks. The concept is to implement an IT solution that will accelerate the process of verifying the condition of a patient with COVID-19 in a medical facility using AI and to carry out research to improve the accuracy of the diagnosis. Experiments were carried out on two different databases of lung scans with Computer Tomography.

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Correspondence to Michal Kedziora .

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Nahajowski, M., Kedziora, M., Jozwiak, I. (2023). Improvement of the Process of Diagnosing Patient’s Condition via Computer Tomography Lung Scans Using Neural Networks. In: Nguyen, N.T., et al. Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2023. Communications in Computer and Information Science, vol 1863. Springer, Cham. https://doi.org/10.1007/978-3-031-42430-4_40

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  • DOI: https://doi.org/10.1007/978-3-031-42430-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42429-8

  • Online ISBN: 978-3-031-42430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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