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STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation

Cho, Won June et al.
arXiv (All) · Papers
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and-scienceartificial-intelligencecomputational-engineeringcomputer-vision-and-pattern-recognitionfinancemachine-learning
Synthetic histopathology image generation addresses patient-privacy concerns and the growing data demands of foundation models. Existing state-of-the-art histopathology generative models use pretrained Vision Foundation Models (VFMs) as conditioning signals. We show this yields conditioning-dominate
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