Releases: DebadityaHait/WoundDoc
Releases · DebadityaHait/WoundDoc
Release list
WoundDoc v1.0.0 — First Public Release (Android APK)
🎉 WoundDoc v1.0.0 is here!
Photograph once. Track healing forever.
The first official release of WoundDoc — a production-grade AI-powered mobile platform for clinicians to monitor chronic wounds and diabetic foot ulcers with calibrated measurements and intelligent insights.
✨ Key Features
- 16-class AI wound classification (EfficientNet-B0 backbone, 92.33% accuracy on Medetec dataset)
- 30+ tissue segmentation with color-coded overlays (necrotic, granulation, slough, epithelial, etc.)
- ArUco-calibrated size detection — perspective-corrected area in cm² (robust to angle & lighting)
- Longitudinal tracking — sparkline trends + stacked tissue history charts
- On-demand Gemini AI clinical analysis — summary, key findings, healing trajectory (improving/stable/worsening), concerns & recommendations
- 3-tab image comparison — Original | Annotated | Rectified (bird’s-eye view)
- Fully offline-first — all data & images stored locally (no cloud required)
Research-Backed Technology
Built on peer-reviewed methods:
- Semi-supervised learning pipeline from DFUTissueSegNet (DSC improved to 87.64%)
- EfficientNet-B0 + ReLU from Eff-ReLU-Net
- Phone-based workflow inspired by DFUCare (F1 0.80 localization, 94.81% ischemia accuracy)
Installation
- Download
WoundDoc-v1.0.0.apkbelow - Install on any Android device (Android 8.0+)
- Open with Expo Go or directly (allow "Unknown sources" if needed)
Screenshots
Full gallery available in the README
This is a research and demonstration tool only. All AI outputs are advisory. Not a substitute for professional clinical judgment. Use at your own risk. Always verify with a qualified clinician.
First release — March 2026