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Wire integrated dashboard renderer (src/integrated_report.py) Running
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revert: remove post-processing, use raw model output — works best for majority of images
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fix: iterative necrotic recovery (3x30px) — bridges gap to necrotic toes
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feat: necrotic tissue recovery — dark regions adjacent to foot reclassified as ulcer
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fix: shadow filtering + adaptive ITA trimming + increased periulcer dilation (60px) — reduces Fitzpatrick overestimation
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fix: preserve dark necrotic tissue connected to foot, only remove isolated dark blobs
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feat: postprocess segmentation — largest component + dark pixel exclusion + morphological cleanup
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feat: lighting quality assessment for Fitzpatrick estimation
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Fix: load 30 selected features from JSON instead of guessing from model
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Fix: extract feature names from XGBoost model to match training feature selection (30 vs 63)
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Add pipeline code, PWAT models, and Gradio app
