Giter Site home page Giter Site logo

braintumorclassification's Introduction

Brain Tumor Classification

Aim

This project uses ML and CNN in order to classify if the image of Brain MRI (top) scan has tumor or not.

Resources

The data can is available as zip file

Description

The binary classification of Brain Tumor MRI scans is obtained using a CNN model. The Image generator for the model undergoes Image augmentation before being given as input. The final accuracy obtained is 58 percent. The low accuracy is obtained due to absence of proper hyper parameter tuning and better model architecture.

Below are some image predicted correctly.

Initiative

This project comes under the initiative to delve into usage of Deep learning in Medical Imaging field.

Contact

For any doubts or contributions please contact [email protected] .

braintumorclassification's People

Contributors

venkatramnank avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.