CORDIS Project
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This project proposes a non-invasive method for diagnosing breast cancer using advanced ultrasound imaging techniques combined with machine learning. By analyzing multiparametric maps of tumor characteristics, it aims to eliminate the need for painful biopsies and improve diagnostic accuracy.
Tumour development follows a diversity of complementary biological pathways, including the modification of the tissue structure and vascularization, which are not currently captured by imaging techniques in the clinic.
Breast cancer patients undergo a series of imaging sessions using complementary modalities, including ionizing mammographies.
In many cases, this imaging is not precise enough for a diagnosis, so that tissue samples in the form of biopsies are used to further characterize the tumo…
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
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