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Research . 2019
License: CC BY
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Research . 2019
License: CC BY
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https://doi.org/10.5281/zenodo...
Article . 2019
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Deep Learning e calcolo ad alte prestazioni per l'elaborazione di immagini biomediche

descriptionPublicationkeyboard_double_arrow_right Research , Conference object , Article 01 Jan 2019 Italian Publisher:ZenodoJournal:Convegno Nazionale Italiano sull'Intelligenza Artificiale (Ital-IA)Funded by:EC | DeepHealth
Authors: , Aldinucci; Berzovini; , Grana; , Grangetto; , Pireddu; , Zanetti;

doi: 10.5281/zenodo.3338255 , 10.5281/zenodo.3338256

Deep Learning e calcolo ad alte prestazioni per l'elaborazione di immagini biomediche

Abstract

Il progetto DeepHealth, recentemente finanziato dalla Commissione Europea, ha come obiettivo la realizzazione di un ecosistema europeo costituito da piattaforme di calcolo ad alte prestazioni, li- brerie software e competenze multi-disciplinari di intelligenza artificiale, calcolo parallelo e scienze mediche per l’elaborazione e la diagnosi basata su immagini. Il contributo presenta sinteticamente le competenze e le infrastrutture nazionali coivolte nel progetto.

Keywords

High-Performance Computing, Deep Learning, Healthcares, Cloud

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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