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

This document 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 th...

Full description

Saved in:
Bibliographic Details
Main Authors: Caballero, Monica, Gomez, Jon Ander, Bantouna, Aimilia
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Biomedical applications
Deep Learning
Europe
High Performance Computing
Libraries
Medical diagnostic imaging
Medical services
Pilot test cases
Predictive models
Software
Very large databases
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This document 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.
ISSN:2372-9198
DOI:10.1109/CBMS.2019.00040