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Published June 5, 2019 | Version v1
Conference paper Open

Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth)

  • 1. everis Spain
  • 2. Universitat Politècnica de València (UPV)
  • 3. WINGS ICT Solutions

Description

The paper introduces the DeepHealth project: "Deep-Learning and HPC to Boost Biomedical Applications for Health". This project is funded by the European Commission under the H2020 framework program and aims to reduce the gap between the availability of mature enough AI-solutions and their deployment in real scenarios. Several existing software platforms provided by industrial partners will integrate state-of-the-art machine-learning algorithms and will be used for giving support to doctors in diagnosis, increasing their capabilities and efficiency. The DeepHealth consortium is composed by 21 partners from 9 European countries including hospitals, universities, large industry and SMEs.

This document is an accepted paper published using the Green Open Access Model. Published paper available at https://www.computer.org/csdl/proceedings-article/cbms/2019/228600a150/1cdNXiHj5QY 

© 2019 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

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Additional details

Funding

DeepHealth – Deep-Learning and HPC to Boost Biomedical Applications for Health 825111
European Commission