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README.md

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 ## **ProViCNet: Prostate-Specific Foundation Models with Patch-Level Contrast for Cancer Detection**  
 
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 ### **📌 Overview**  
 ProViCNet is an **organ-specific foundation model** designed for **prostate cancer detection** using **multi-modal medical imaging (mpMRI & TRUS)**. The model leverages **Vision Transformers (ViTs) with patch-level contrastive learning** to improve **cancer localization and classification**.  
 
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 📌 **For usage examples and detailed documentation, visit:**  
 🔗 **[ProViCNet GitHub Repository](https://github.com/pimed/ProViCNet/)**  
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+📄 **Reference Paper:**  
+🔗 **[ProViCNet: Organ-Specific Foundation Model for Prostate Cancer Detection](https://arxiv.org/abs/2502.00366)**
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