AI-Powered Detection

Early Detection
Saves Lives

Advanced machine learning system for breast cancer risk analysis. Clinical-grade accuracy with interpretable results.

569Training Samples
98.25%Model Accuracy
30Clinical Features
0.9950ROC–AUC Score

How It Works

Clinical Features

Input 30 fine needle aspiration parameters for precise malignancy prediction

Risk Factors

Evaluate personal risk using evidence-based epidemiological factors

Data Analytics

Explore model performance metrics, feature importance and dataset statistics