https://github.com/sabbir45ali/brestcancerdetection

This is project for early detection of BREST CANCER.
https://github.com/sabbir45ali/brestcancerdetection

css flask html jupyter-notebook machine-learning python

Last synced: 3 months ago
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This is project for early detection of BREST CANCER.

• Host: GitHub
• URL: https://github.com/sabbir45ali/brestcancerdetection
• Owner: Sabbir45ali
• License: mit
• Created: 2024-09-03T16:51:05.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-10-22T07:15:49.000Z (over 1 year ago)
• Last Synced: 2025-06-16T13:46:41.180Z (about 1 year ago)
• Topics: css, flask, html, jupyter-notebook, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 927 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 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 - 

![image](https://github.com/user-attachments/assets/53e0ec8c-fc2b-4927-b012-80eba104c697)

## Model accuracy - 

![WhatsApp Image 2024-08-31 at 19 21 30_4d06ed4b](https://github.com/user-attachments/assets/77df7017-da38-4fad-a721-22f0d8219eea)

##ROC Curve

![WhatsApp Image 2024-09-07 at 21 45 39_9fe5314b](https://github.com/user-attachments/assets/29383adc-1028-4011-9c9e-c4de1375f19f)

## 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

```bash

    virtualenv env

    ./env/Script/activate.ps1

    python app.py

```

**Clone the Repository**

   ```bash

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

   cd BrestCancerDetection

```