Overview

Machine learning system analyzing medical imaging and patient data to detect prostate cancer at early stages with 94% accuracy. The model processes MRI scans, PSA levels, and patient history to provide risk assessment and diagnostic recommendations. Reduces diagnostic time by 70% compared to traditional methods.

Technology

Python · Scikit-learn · TensorFlow · Medical Imaging · Data Analysis