ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models

arXiv:2403.10786v1 Announce Type: cross
Abstract: Accurately translating medical images across different modalities (e.g., CT to MRI) has numerous downstream clinical and machine learning applications. While several methods have been proposed to achieve this, they often prioritize perceptual quality with respect to output domain features over preserving anatomical fidelity. However, maintaining anatomy during translation is essential for many tasks, e.g., when leveraging masks from the input domain to develop a segmentation model with images translated to the output domain. To address …

abstract applications arxiv clinical contour cs.cv cs.lg diffusion diffusion models domain eess.iv features fidelity however image images machine machine learning machine learning applications medical mri quality translation type