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  # DiaFoot.AI v2 — Diabetic Foot Ulcer Detection & Segmentation
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  > **⚠️ IMPORTANT DISCLAIMER:** This is an academic research project developed for educational purposes as part of the AAI6620 Computer Vision course at Northeastern University. **This software is NOT a medical device, is NOT FDA-cleared, and is NOT intended for clinical use, diagnosis, treatment, or any medical decision-making.** It does not replace professional medical judgment. Always consult a qualified healthcare provider for any medical concerns. The authors assume no liability for any use of this software in clinical or diagnostic settings.
 
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+ ---
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+ language: en
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+ license: mit
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+ tags:
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+ - medical-imaging
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+ - wound-segmentation
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+ - diabetic-foot-ulcer
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+ - unet-plus-plus
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+ - pytorch
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+ - computer-vision
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+ datasets:
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+ - custom
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+ metrics:
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+ - dice
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+ - iou
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+ pipeline_tag: image-segmentation
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+ model-index:
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+ - name: DiaFoot.AI-v2
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+ results:
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+ - task:
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+ type: image-segmentation
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+ metrics:
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+ - name: Dice (5-fold CV)
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+ type: dice
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+ value: 85.43
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+ - name: IoU (5-fold CV)
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+ type: iou
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+ value: 78.70
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+ - name: NSD@5mm
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+ type: nsd
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+ value: 94.74
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+ ---
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+
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  # DiaFoot.AI v2 — Diabetic Foot Ulcer Detection & Segmentation
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  > **⚠️ IMPORTANT DISCLAIMER:** This is an academic research project developed for educational purposes as part of the AAI6620 Computer Vision course at Northeastern University. **This software is NOT a medical device, is NOT FDA-cleared, and is NOT intended for clinical use, diagnosis, treatment, or any medical decision-making.** It does not replace professional medical judgment. Always consult a qualified healthcare provider for any medical concerns. The authors assume no liability for any use of this software in clinical or diagnostic settings.