CORDIS Project
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This project focuses on improving medical imaging through the development of a new machine learning approach that can automatically confirm the absence of disease. By utilizing healthy patient data, it aims to enhance diagnostic support for healthcare professionals and streamline patient care.
As one of the most important aspects of diagnosis, treatment planning, treatment delivery, and follow-up, medical imaging provides an unmatched ability to identify disease with high accuracy.
As a result of its success, referrals for imaging examinations have increased significantly.
However, medical imaging depends on interpretation by highly specialised clinical experts and is thus rarely available at the front-line-of-care, for patient triage, or for frequent follow-ups.
Very often, excluding…
FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
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