Welcome to the 2nd DeepHealth newsletter! Throughout these communications, we will be providing the more relevant news about the project in the last months.
2020 is the 2nd year of the DeepHealth project, and it has been a very tough year for us all. During the months of confinement due to the COVID-19 outbreak, DeepHealth teams have continued working on the development of the project, remotely and collaboratively to achieve the planned objectives. Navigate through this newsletter to get a glimpse of our highlights during the last months.
First versions of the two libraries developed within the DeepHealth project, EDDL (European Distributed Deep Learning Library) and ECVL (European Computer Vision Library) are publicly available in GitHub.
EDDL and ECVL are two of the major outcomes of the DeepHealth project, forming together with the associated front-end and back-end application, the DeepHealth toolkit.
EDDL is an optimised tensor library for distributed deep learning with hardware transparency support for CPUs, GPUs and FPGAs. It is a general purpose software that can be used to design, train, evaluate and put in production any network topology designed by a Deep Learning expert. EDDL covers most used DL functionalities in the Health sector, whether not limited to it.
ECVL is a library that facilitates the integration and exchange of data between existing Computer Vision and image processing libraries. The library also provides high-level Computer Vision functionalities thanks to specialised/accelerated versions of some CV algorithms commonly used in combination with Deep Learning (DL) algorithms, ready to be used with EDDL.
Usable versions of their C++ and Python versions are already available, together with installation instructions and examples of use.
Development is still on-going, so, more updates are yet to come, in special towards their distributed versions and their adaptation to be efficiently executed on HPC and Cloud infrastructures.
All information and documentation in the GitHub repository of the EDDL and ECVL
The research group led by María de la Iglesia-Vayá of the DeepHealth partner "Foundation for the Promotion of Health and Biomedical Research in the Valencian Community" (FISABIO) has published a large annotated open dataset of RX and CT images of COVID19 patients.
DeepHealth started collaborating with CLAIRE (Confederation of Laboratories for AI Research in Europe) when Covid-19 pandemic sprang. Professor Marco Aldinucci, from the University of Torino, a DeepHealth partner, is the coordinator of T7-Image Analysis topic group where several DeepHealth partners are involved.