license: mit

πŸ“„ Model Card for Hugging Face (ProViCNet Weights)

ProViCNet: Prostate-Specific Foundation Models with Patch-Level Contrast for Cancer Detection

πŸ“Œ 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.

πŸ“Œ For usage examples and detailed documentation, visit:
πŸ”— ProViCNet GitHub Repository

πŸ“„ Reference Paper:
πŸ”— ProViCNet: Organ-Specific Foundation Model for Prostate Cancer Detection

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