Giter Site home page Giter Site logo

dicom-cnn's Introduction

DICOM CNN

Scripts useful for doing deep learning on DICOM images. Used to differentiate between images with and without lung nodules for my semester project in machine learning.

Note:

While you are welcome to borrow ideas and code from this repo, other models performed much better in the competition. If you are interested in DICOM image segmentation in general, you may want to read about some of the winning entries in the 2017 Data Science Bowl

utilityFunctions.py

A series of functions for converting DICOM images into numpy arrays

CNN.py

The most successful architecture I tested

writeup.pdf

A paper detailing background information and different methods of lung nodule detection

dicom-cnn's People

Contributors

ben-heil avatar

Watchers

James Cloos 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.