Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images

Project description

Deep learning to improve medical imaging

Medical imaging has revolutionised diagnosis, treatment and follow-up, providing fundamental information on anatomy and physiology with very high spatial resolution. However, the imaging process can be stressful for patients, and it is difficult in the presence of motion. The key objective of the EU-funded Deep4MI project is to advance and automate medical imaging so as to provide higher diagnostic and prognostic accuracy for clinical decision-making. Using machine and deep learning techniques, scientists will improve image acquisition, reconstruction and analysis to extract more clinical information from medical images and optimise results interpretation.

Fields of science

• engineering and technology › medical engineering › diagnostic imaging
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programme(s)

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)

Topic(s)

• ERC-2019-ADG - ERC Advanced Grant

Call for proposal

ERC-2019-ADG
See other projects for this call

Funding Scheme

ERC-ADG - Advanced Grant

Host institution

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN

Address

Ismaninger Strasse 22
81675 Muenchen
Germany

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 2 499 900

Beneficiaries (1)

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN

Germany

EU contribution

€ 2 499 900

Address

Ismaninger Strasse 22
81675 Muenchen

Activity type

Higher or Secondary Education Establishments