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Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
March 22, 2024, 4:42 a.m. | Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinay
cs.LG updates on arXiv.org arxiv.org
Abstract: Contrast agents in dynamic contrast enhanced magnetic resonance imaging allow to localize tumors and observe their contrast kinetics, which is essential for cancer characterization and respective treatment decision-making. However, contrast agent administration is not only associated with adverse health risks, but also restricted for patients during pregnancy, and for those with kidney malfunction, or other adverse reactions. With contrast uptake as key biomarker for lesion malignancy, cancer recurrence risk, and treatment response, it becomes pivotal …
arxiv contrast cs.ai cs.cv cs.lg diffusion diffusion models eess.iv latent diffusion models type
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