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DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
Rezkellah Noureddine Khiati, Pierre-Yves Brillet, Catalin Fetita
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-bas…
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
Rezkellah Noureddine Khiati, Pierre-Yves Brillet, Radu Ispas +1
Accurate quantification of the extent of lung pathological patterns (fibrosis, ground-glass opacity, emphysema, consolidation) is prerequisite for diagnosis and follow-up of inters…
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation
Rezkellah Noureddine Khiati, Pierre-Yves Brillet, Aurélien Justet +2
This paper addresses the problem of pathological lung segmentation, a significant challenge in medical image analysis, particularly pronounced in cases of peripheral opacities (sev…