Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

arXiv:2403.06835v1 Announce Type: new
Abstract: Data scarcity and privacy concerns limit the availability of high-quality medical images for public use, which can be mitigated through medical image synthesis. However, current medical image synthesis methods often struggle to accurately capture the complexity of detailed anatomical structures and pathological conditions. To address these challenges, we propose a novel medical image synthesis model that leverages fine-grained image-text alignment and anatomy-pathology prompts to generate highly detailed and accurate synthetic medical images. Our method integrates …

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