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Clear AllThe 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 . 2021RestrictedAuthors:Xavier Lessage; Saïd Mahmoudi; Sidi Ahmed Mahmdoudi; Sohaib Laraba; Olivier Debauche; Mohammed Amin Belarbi;Persistent Identifiers
handle: 2268/263454
Publisher: Springer International PublishingCountry: BelgiumThe 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....
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - publication . 2021RestrictedAuthors:Olivier Debauche; Saïd Mahmoudi; Sidi Ahmed Mahmoudi; Pierre Manneback;Persistent Identifiers
handle: 2268/260286
Publisher: Springer International PublishingCountry: BelgiumFast 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...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome.
2 research outcomes, page 1 of 1