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
Cross-modality medical image translation can reduce the burden of multi-modal acquisitions, yet the field remains constrained by two coupled limitations: methods operate on 2D slices or 3D patches rather than whole volumes, and train a separate model for each translation task. Both stem from a single cause, the absence...
Daniele Molino, Alessio Zoboli, Camillo Maria Caruso et al.· 0 citations
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