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🎯 CURVAS2025: Bayesian Modeling of Inter-Annotator Variability in UNet-Based PDAC Tumor Segmentation

This repository provides the fine-tuned Bayesian U-Net weights for Pancreatic Ductal Adenocarcinoma (PDAC) segmentation in CT scans, developed for the CURVAS2025 Challenge.

📦 Files:

FT_0.pt – FT_4.pt → Fine-tuned Bayesian U-Net checkpoints (ensemble)
M291.pt → Auxiliary pancreas segmentation model (ROI extraction)

🔗 Code & inference: github.com/vboussot/CurvasPDACVI

Used in our challenge paper:
"From Deterministic to Probabilistic: Bayesian Modeling of Inter-Annotator Variability in UNet-Based Segmentation" – CURVAS2025

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