Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+  - medical-imaging
+  - ophthalmology
+  - image-classification
+  - explainable-ai
+  - core-ml
+  - grad-cam
+language:
+  - zh
+  - en
+metrics:
+  - roc_auc
+---
+
+# ELIAS — Eyelid Lesion Intelligent Analysis System
+
+**AUC 0.93 · iPhone 即時推論 < 1s · 2026 智慧創新大賞參賽作品**
+
+## Model Description
+Clinician-guided deep learning classifier for epiblepharon detection
+from external eye photographs. Uses a frozen ImageNet-pretrained
+ResNet-18 backbone with a task-specific classification head.
+
+- **Architecture**: ResNet-18 (frozen) + Linear head
+- **Training**: 5-fold cross-validation, BCEWithLogitsLoss
+- **Explainability**: Native PyTorch Grad-CAM (layer4)
+- **Deployment**: Apple Core ML, on-device iOS inference < 1s
+
+## Performance (5-Fold Cross-Validation)
+| Metric | Value |
+|---|---|
+| AUC | **0.93** |
+| Sensitivity | High |
+| Specificity | Moderate |
+| F1 Score | High |
+
+## Intended Use
+Research prototype for clinical decision support in
+epiblepharon screening. **Not a validated medical device.**
+
+## Source Code
+GitHub: https://github.com/YOUR_USERNAME/ELIAS
+```
+
+---
+
+### Step 5 — 取得佐證連結
+
+上傳完成後，你的 Hugging Face 頁面會是：
+```
+https://huggingface.co/YOUR_HF_USERNAME/ELIAS-epiblepharon