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Repository for a deep learning project "Automated Chest Radiograph Analyser", The intention of this project is to train a machine learning model that will take chest X-Ray as input and predict the pathology or disease in it. The performance of CNN(Convolutional Neural Network) is compared with Traditional Machine Learning methods.

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acra's Introduction

ACRA

About

Repository for a deep learning project "Automated Chest Radiograph Analyser", The intention of this project is to train a machine learning model that will take chest Xray as input and predict the pathology or disease in it.

Technology Stack :-

->Python
->scikit learn
->CNN(Convolutional Neural N/W)
->Keras

Work as a Team

EACH TEAM MEMBER MUST CLONE THE PROJECT — DO NOT FORK IT!

Adding a new feature

master is a protected branch and hence cannot be modified directly by anyone.

Everytime someone wants to add a new feature, create a new branch for it and open a pull request when you are done. If your pull request gets at least 1 approval then it can be merged to master.

Important Reminders:

  • Before creating a new branch, make sure you are up to date with the master branch.
  • Tell your team every time a pull request has been merged with master. Don’t let your team members fall behind master.
  • Pull often, just to be sure. Even if no one has told you about changes on master, pull anyways. It doesn’t hurt.
  • Under Branches on GitHub you can find a visual representation of how far behind or head your branch is from master.
  • Double check with team members before merging.
  • Make sure you are on a branch before you start working. Get in the habit of checking.

acra's People

Contributors

shivamkalra13 avatar

Stargazers

 avatar Nitin Srivastava avatar

Watchers

James Cloos avatar Nitin Srivastava avatar

Forkers

shaktijain9

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