CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation

arXiv:2403.17770v1 Announce Type: cross
Abstract: Despite the significant success achieved by deep learning methods in medical image segmentation, researchers still struggle in the computer-aided diagnosis of abdominal lymph nodes due to the complex abdominal environment, small and indistinguishable lesions, and limited annotated data. To address these problems, we present a pipeline that integrates the conditional diffusion model for lymph node generation and the nnU-Net model for lymph node segmentation to improve the segmentation performance of abdominal lymph nodes through synthesizing …

abstract annotated data arxiv computer cs.cv data deep learning diagnosis diffusion diffusion models eess.iv environment image medical node nodes researchers segmentation small struggle success synthesis type