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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.

Host institution

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN
Net EU contribution
€ 2 499 900,00
Address
Ismaninger Strasse 22
81675 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Beneficiaries (1)

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN
Germany
Net EU contribution
€ 2 499 900,00
Address
Ismaninger Strasse 22
81675 Muenchen

See on map

Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00