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Breast Radiography Image Dimension Generation and Enhancement

CORDIS · observation · Publication date unknown

iagnosed cancer in women worldwide, with alarming mortality rates, access to advanced 3D imaging technologies remains limited in many regions. BRIDGE proposes to bridge this gap by developing a novel artificial intelligence (AI) framework to generate synthetic 3D mammography images and/or magnetic resonance images (MRI) from standard 2D mammograms. Further, it aims to detect the presence of anomalies in the segmented 3D images. Leveraging state-of-the-art deep learning techniques, including Swin Transformers and Generative Adversarial Networks, BRIDGE will create a robust system capable of producing clinically actionable 3D breast images. This approach will enhance diagnostic capabilities in resource-limited settings without the need for expensive 3D imaging equipment, potentially improving early detection rates and patient outcomes. Additionally, the GAN method is utilized to detect anomalies in 3D images. The project's interdisciplinary methodology integrates expertise from AI, medical imaging, clinical practice, and ethics. It focuses on four key areas: cross-modality synthesis,

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recordType

award

status

SIGNED

region

EU

value

194074.56

unit

EUR