Autors: Miroslav Nikolov., Georgi Tsenov., Ognyan Nakov., Milena Lazarova., Valeri Mladenov.
Title: Application of GPU Accelerated Deep Learning Neural Networks for COVID-19 Recognition from X-Ray Scans
Keywords: COVID-19, Deep learning, Training, Image recognition, Pulmon

Abstract: In this paper we are presenting the results of creation and training of a stand-alone expert system aimed at detection and diagnosis of COVID infection, that is based on automatic readings of X-ray imaging X Ray, which determines whether the patient has COVID pneumonia. The system is realized with deep learning neural networks and is accelerated with GPU utilized, instead of CPU.

References

  1. Jaspreet Singh and Jagandeep Singh, 2020, COVID-19 and Its Impact on Society, Electronic Research Journal of Social Sciences and Humanities, Volume vol. 2, no. I, April 2020, pp.
  2. , 1950, , , , <>,

Issue

IEEE 2022 10-th International Scientific Conference COMPUTER SCIENCE, pp. 1-5, 2022, Bulgaria, IEEE, DOI 10.1109/COMSCI55378.2022.9912590

Copyright IEEE

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Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus