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multimodal image database integrating structural and biomechanical imaging of the pelvic floor muscles for improved assessment of birth injuries. Develop deep learning based image processing for pelvic floor
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, clinical, and medical imaging records. The project aims to develop a unified hierarchical knowledge graph to harmonize, integrate and analyze medical data across modalities, relying on medical ontologies
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