AI RESEARCH
DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
arXiv CS.CV
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ArXi:2605.11758v1 Announce Type: cross Unsupervised segmentation of pulmonary pathologies in CT remains an open challenge due to the absence of annotated multi pathology cohorts and the failure of existing diffusion-based methods to exploit the quantitative Hounsfield Unit (HU) signal that physically distinguishes tissue classes. To address this, we propose DiffSegLung,a framework that