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README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- medical
+- dental
+- object-detection
+- faster-rcnn
+- pytorch
+datasets:
+- ibrahimhamamci/DENTEX
+metrics:
+- map
+---
+
+# Viscan OPG - Faster R-CNN ResNet-50 FPN V2 Weights
+
+Fine-tuned weights for automated pathology detection in dental panoramic radiographs (OPG) on the **DENTEX (MICCAI 2023)** dataset.
+
+## Model Summary
+- **Architecture**: Faster R-CNN with ResNet-50 FPN V2 backbone
+- **Pretrained Weights**: COCO_V1
+- **Classes (5)**: ackground, impacted_tooth, caries, periapical_lesion, deep_caries
+- **Total Parameters**: 43,271,528 (43,046,184 trainable)
+- **File Size**: 173,466,789 bytes
+- **SHA-256**: e0b49b12f48fc71ec1f583db08f107650659571e7c2b9cbd454dbfed13b46a1f
+- **Operating Confidence Threshold**: 0.70 (tuned via validation macro-F1 sweep)
+
+## License Notice
+- Model Code: BSD-3-Clause (torchvision)
+- Model Weights: **CC BY-NC-SA 4.0** (derived from fine-tuning on DENTEX MICCAI benchmark). Non-commercial academic and research use.