Cancer Detection

A medical image classification web application built using Logistic Regression and deployed with Streamlit.

The system allows users to upload grayscale medical images (e.g., X-ray or microscopic samples) and predicts whether the image indicates Cancer or Normal tissue.

The application preprocesses the image by resizing it to 64x64 pixels, converting it to grayscale, flattening it into feature vectors, and applying feature scaling before feeding it into the trained model.