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An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an IoMT Application

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Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference (DCAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 585))

Abstract

The Internet of Things (IoT) is a fast-evolving technology that utilizes software, hardware, and computer devices to form a network of interconnected gadgets. IoMT integrates medical equipment and applications linked to healthcare IT systems in an IoT-based ecosystem. Moreover, IoMT for health care is a massive data generator produced by sensors or any medical device attached to the Internet. As a result, transferring IoMT data to remote cloud databases is a popular procedure. This research proposes an intelligent and green e-healthcare model for an early diagnosis of medical images. Moreover, the research focuses on image segmentation, an essential phase in image analysis, and presents a precise and robust segmentation model. Furthermore, the research considers the high energy consumption of transferring massive data through the cloud. It suggests a new energy-aware VM placement model in a fog-based environment.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, Lebanon

    Ibrahim Dhaini, Soha Rawas & Ali El-Zaart

Authors
  1. Ibrahim Dhaini
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  2. Soha Rawas
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  3. Ali El-Zaart
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Corresponding author

Correspondence to Ibrahim Dhaini .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    José Manuel Machado

  2. University of Salamanca, Salamanca, Spain

    Pablo Chamoso

  3. University of Salamanca, Salamanca, Spain

    Guillermo Hernández

  4. Koszalin University of Technology, Koszalin, Poland

    Grzegorz Bocewicz

  5. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Roussanka Loukanova

  6. University of Coruña, La Coruña, Spain

    Esteban Jove

  7. Departamento de Matemática Aplicada, University of Salamanca, Salamanca, Spain

    Angel Martin del Rey

  8. University of Calabria, Arcavacata di Rende, Cosenza, Italy

    Michela Ricca

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Dhaini, I., Rawas, S., El-Zaart, A. (2023). An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an IoMT Application. In: Machado, J.M., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-031-23210-7_16

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