metadata
license: apache-2.0
🎯 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