license: mit
📄 Model Card for Hugging Face (ProViCNet Weights)
ProViCNet: Prostate-Specific Foundation Models with Patch-Level Contrast for Cancer Detection
📌 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.
These pre-trained weights are provided for research and clinical AI development and can be used for inference (feature extraction and cancer detection) on prostate imaging datasets.
📌 For usage examples and detailed documentation, visit:
🔗 ProViCNet GitHub Repository
📄 Reference Paper:
🔗 ProViCNet: Organ-Specific Foundation Model for Prostate Cancer Detection
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