Project Addition: Breast Cancer detection using DL (Ultrasound Image data) with Web App

[TheNaiveSamosa]

[Project Addition]: Breast Cancer Detection using DL - with Web App

Description

Aim of the project: The aim of this project is to develop a Breast Cancer Detection system using Deep Learning techniques on Ultrasound images. This project will include a web application for easy access and usability.

Details

• Name: Aditya Khamitkar
• GitHub ID: TheNaiveSamosa
• Email ID: thenaivesamosa@gmail.com
• Identify yourself: Contributor

Project Structure

The project will be structured as follows:

1. Model folder: Contains the trained models and Jupyter notebooks for training.
2. Webapp folder: Contains the Flask web application with templates and static files.
3. Dataset folder: Contains a README.md for performing EDA.
4. Documentation: Detailed README files in the root and respective folders to guide users through the project.

Features

• Deep Learning Models: Implementation of models like VGG16 and MLP for breast cancer detection.
• Web Application: A user-friendly web interface for uploading ultrasound images and receiving predictions.
• Exploratory Data Analysis (EDA): Insights and visualizations of the dataset to understand the data better.

Checklist

• [x] Implementation of deep learning models.
• [x] Development of the web application.
• [x] Perform EDA and document findings.
• [x] Create detailed README files for guidance.

[invigorzz313]

This issue has been assigned. Do follow the project guidelines for the PR. Create a new branch for every PR and avoid committing from master branch.