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cs.CV2026
λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy
Federico Carrara, Talley Lambert, Mehdi Seifi +1
In fluorescence microscopy, spectral unmixing aims to recover individual fluorophore concentrations from spectral images that capture mixed fluorophore emissions. Since classical m…
cs.CV2026
MamaDino: A Hybrid Vision Model for Breast Cancer 3-Year Risk Prediction
Ruggiero Santeramo, Igor Zubarev, Florian Jug
Breast cancer screening programmes increasingly seek to move from one-size-fits-all interval to risk-adapted and personalized strategies. Deep learning (DL) has enabled image-based…