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README.md
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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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# 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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