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

被引：3

作者：

Caballero, Monica ^{[1
]}

Ander Gomez, Jon ^{[2
]}

Bantouna, Aimilia ^{[3
]}

机构：

[1] EVERIS Spain, Barcelona, Spain

[2] Univ Politecn Valencia, Valencia, Spain

[3] WINGS ICT Solut, Athens, Greece

来源：

2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) | 2019年

关键词：

High Performance Computing; Big Data; Pilot test cases; Very large databases; Deep Learning; Biomedical applications;

D O I：

10.1109/CBMS.2019.00040

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：150 / 155

页数：6

共 10 条

[1] Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals [J].