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The DeeBMED project aims to develop an advanced automatic medical imaging tool to enhance early diagnostics and treatment for diseases like cancer and diabetes. By leveraging deep learning techniques, it seeks to address challenges in analyzing complex medical scans, improving efficiency and accessibility in healthcare…
Diseases characteristic for modern western civilization, such as cancer, diabetes or cardiovascular disorders, lead to millions of deaths per year in the European Union.
In order to decrease this enormous quantity, medical imaging should be widely available at early diagnostics and every stage of a therapy.
Nowadays, there are various diagnostics techniques including CT, PET, MRI, however, analysis of a medical image is time-consuming and expensive.
Development of new effective automatic tool fo…
UNIVERSITEIT VAN AMSTERDAM
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