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license: apache-2.0 |
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🎯 CURVAS2025: Bayesian Modeling of Inter-Annotator Variability in UNet-Based PDAC Tumor Segmentation |
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This repository provides the fine-tuned Bayesian U-Net weights for **Pancreatic Ductal Adenocarcinoma (PDAC) segmentation** in CT scans, developed for the **CURVAS2025 Challenge**. |
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📦 Files: |
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- FT_0.pt – FT_4.pt → Fine-tuned Bayesian U-Net checkpoints (ensemble) |
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- M291.pt → Auxiliary pancreas segmentation model (ROI extraction) |
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🔗 Code & inference: [github.com/vboussot/CurvasPDACVI](https://github.com/vboussot/CurvasPDACVI) |
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Used in our challenge paper: |
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*"From Deterministic to Probabilistic: Bayesian Modeling of Inter-Annotator Variability in UNet-Based Segmentation"* – CURVAS2025 |
