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Medical Image Analysis with NVIDIA Jetson GPU Modules

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 312))

Abstract

Medical imaging and image analysis are important elements of modern diagnostic and treatment methods. Intelligent image processing, pattern recognition, and data analysis can be leveraged to introduce a new level of detection, segmentation, and, in general, understanding to medical image analysis. However, modern image analysis methods such as deep neural networks are often connected with significant computational complexity, slowing their adoption. Recent embedded systems such as the NVIDIA Jetson general-purpose GPUs became a viable platform for efficient execution of some computational models. This work analyzes the performance and time and energy costs of several neural models for medical image analysis on different kinds of NVIDIA Jetson modules. The experiments are performed with the lung X-ray medical images in connection with the COVID-19 disease.

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Notes

  1. 1.

    https://www.kaggle.com/tawsifurrahman/covid19-radiography-database.

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Acknowledgment

This work was supported from ERDF in project “A Research Platform focused on Industry 4.0 and Robotics in Ostrava”, reg. no. CZ.02.1.01/0.0/0.0/17_049/0008425, by the Technology Agency of the Czech Republic in the frame of the project no. TN01000024 “National Competence Center – Cybernetics and Artificial Intelligence”, and by the project of the Student Grant System no. SP2021/24, VSB - Technical University of Ostrava.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, 17. listopadu 2172/15, 708 00, Ostrava-Poruba, Czech Republic

    Pavel Krömer & Jana Nowaková

Authors
  1. Pavel Krömer
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  2. Jana Nowaková
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Correspondence to Pavel Krömer .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan

    Hsing-Chung Chen

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Krömer, P., Nowaková, J. (2022). Medical Image Analysis with NVIDIA Jetson GPU Modules. In: Barolli, L., Chen, HC., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-84910-8_25

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