Breast Cancer Detection Using Machine Learning and Flask

Overview

This project is a web-based application for early-stage breast cancer detection using machine learning. The application utilizes a machine learning model to analyze patient data and provide early diagnostic results, aiming to improve survival rates and facilitate timely intervention.

Mmammography Test -

Model accuracy -

##ROC Curve

Features

• Early Detection: Utilizes machine learning algorithms to detect breast cancer at an early stage.
• Web-Based Interface: Provides an easy-to-use web application built with Flask.
• User-Friendly: Allows users to input medical data and receive diagnostic results via a web interface.
• Accurate Predictions: Based on a trained model that analyzes key features such as clump thickness, cell size, and others.

Installation

    virtualenv env
    ./env/Script/activate.ps1
    python app.py

Clone the Repository

git clone https://github.com/Sabbir45ali/BrestCancerDetection.git
cd BrestCancerDetection