AI-Powered Breast Cancer Detection
Using machine learning to help detect breast cancer through cell nucleus features analysis.
Start Prediction Tool
Using machine learning to help detect breast cancer through cell nucleus features analysis.
Start Prediction Tool
The Breast Cancer Predictor is a machine learning tool designed to assist medical professionals in the early detection of breast cancer. By analyzing cell nucleus features from breast mass samples, our model can predict whether a mass is benign or malignant with high accuracy.
Early detection is crucial in the fight against breast cancer. This tool aims to provide an additional layer of screening that can help medical professionals make more informed decisions.
Prediction Accuracy
Feature Analysis
Instant Results
Analyzes 8 different cell nucleus features to make accurate predictions
Generate detailed PDF reports with patient information and prediction results
Send prediction reports directly to patients via email for convenient sharing
Designed as a supportive tool for medical professionals
Patient data is processed securely and not stored permanently
Interactive charts and graphs to visualize risk factors, feature importance, and comparison with typical cases
Enter basic patient information and cell nucleus measurements from the sample
Our machine learning model analyzes the data using patterns learned from thousands of samples
Receive instant prediction results indicating benign or malignant with confidence level
Explore interactive visualizations showing prediction confidence, risk factors, feature importance, and comparisons with typical cases
Create a professional PDF report for medical records and patient information
Email the report directly to patients securely with detailed diagnosis information