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Pavan Praneeth

feat: DermaScan AI - full clinical analysis app

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metadata

title: DermaScan AI
emoji: 🔬
colorFrom: indigo
colorTo: purple
sdk: streamlit
sdk_version: 1.44.1
python_version: '3.11'
app_file: dermascan_app.py
pinned: false

DermaScan AI — Clinical Skin Lesion Analysis

Upload a dermoscopy image for full clinical ABCDE analysis, risk scoring, measurements, Grad-CAM explainability, and a downloadable report — all powered by a trained U-Net (ISIC 2018, Dice 0.854).

Features

Feature	Description
🎯 Segmentation	U-Net binary mask with green overlay
🔬 ABCDE Analysis	Asymmetry, Border, Color, Diameter — all computed from the mask
📊 Risk Score	Weighted 0–10 gauge with LOW / MEDIUM / HIGH level
📐 Measurements	Area (mm²), Perimeter, Coverage, Bounding box
🧠 Grad-CAM	Model explainability heatmap
📅 Evolution	Upload a previous scan to track lesion growth
📄 Report	Downloadable PDF + text clinical report

Model

Architecture: U-Net with skip connections
Dataset: ISIC 2018 Task 1 (568 images, 70/15/15 split)
Loss: BCE + Dice (50/50)
Test Dice: 0.8543 ± 0.0821
Weights hosted at: pavanpraneeth/isic-unet

⚠️ Disclaimer: DermaScan AI is a research/screening tool only. It does NOT constitute a medical diagnosis. Always consult a qualified dermatologist.