Low dose Computed Tomography (CT) is the standard imaging modality for lung cancer screening. On CT scans, lung cancer typically manifests as pulmonary nodules, whose manual identification is time-consuming and prone to observer variability, image quality limitations, and suboptimal reading conditions. Moreover, subtle...
G. Romoli, Filippo Ruffini, Francesco Di Feola et al.· 0 citations
The robustness analysis reveals a trade-off: MedSAM tolerates prompt perturbations, while Medical SAM 2 achieves higher accuracy but degrades under box tightening and spatial shifts, supporting the use of SAM-based models for multi-cancer segmentation, while showing that reliability depends on prompt quality and anatom...
M. Tortora, Elena Mulero Ayllón, Filippo Ruffini et al.· Scientific Reports· 0 citations
VegSim, a geospatial world model for scenario-conditioned vegetation simulation that infers a latent vegetation state from sparse satellite-derived NDVI histories, past meteorological covariates, and static spatial context, propagates it forward under future weather forcing through recurrent latent dynamics, and decode...
Irene Iele, Elena Mulero Ayllon, P. Soda et al.· arXiv.org· 0 citations
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