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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ library_name: ultralytics
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+ tags:
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+ - tumor-detection
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+ - brain-mri
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+ - yolov11
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+ - medical-imaging
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+ - brisc-2025
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+ - sota
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+ metrics:
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+ - mAP
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+ ---
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+
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+ # ACE-V1: Brain Tumor Localization
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+ ACE-V1 is a YOLO11 model trained on the **BRISC 2025** dataset for localizing tumors in MRI scans.
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+
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+ ### **Performance**
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+ * **mAP@50:** 0.92777 (Verified on test set)
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+ * **Optimal Weights:** Captured at **Epoch 65** (see `results.png` for convergence history).
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+ * **Target Class:** `tumor` (single-class detection).
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+
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+ ### **Usage**
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+ ```python
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+ from ultralytics import YOLO
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+
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+ model = YOLO('best.pt')
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+ results = model.predict('mri_scan.jpg', save=True)