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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
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2 research outcomes, page 1 of 1
  • publication . 2021
    Restricted English
    Authors:
    Olivier Debauche; Saïd Mahmoudi; Sidi Ahmed Mahmoudi; Pierre Manneback;
    Persistent Identifiers
    Publisher: Springer
    Country: Belgium

    Fast and efficient collaboration among researchers is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly a...

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  • publication . 2021
    Restricted English
    Authors:
    Xavier Lessage; Saïd Mahmoudi; Sidi Ahmed Mahmdoudi; Sohaib Laraba; Olivier Debauche; Mohammed Amin Belarbi;
    Persistent Identifiers
    Publisher: Springer
    Country: Belgium

    The latest advances of deep learning and particularly convolutional neural networks (CNNs) have proven more than once their high accuracy in disease detection. In this chapter, we propose a new deep learning-based approach for COVID-19 detection from chest X-ray images....

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2 research outcomes, page 1 of 1