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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.

Call for proposal

ERC-2019-ADG
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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