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A CNN model that can classify X-Ray images as a Tuberculosis case or a Normal case.

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ajas-tb/tuberculosis

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Project Title

LUNG X-RAY IMAGE CLASSIFICATION USING DEEP NEURAL NETWORK

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A CNN model that can classify X-Ray images as a Tuberculosis case or a Normal case.

Website

Website

Dataset

This model is developed with the help of dataset from Kaggle. Click here to go to the Kaggle Dataset.

Motivation

In this century where everything is at our fingertips, why wait in a long queue to get your X-rays scanned by a radiologist? Especially to find out if you or your loved ones are affected by a serious disease like Tuberculosis? Not anymore, we’ve developed a system that brings radiologists to your fingertips!

Table of contents

  • Project Title
  • Dataset
  • Demo-Preview
  • Motivation
  • Table of contents
  • Installation
  • Contribute
  • License

Installation

To use this project, first clone the repo on your device using the command below:

git init

git clone https://github.com/jith4j/Tuberculosis-Classification.git

Contribute

This project is made only to classify if an X-ray is having Tuberculosis or not. As a next step, the model could be further developed to classify if an X-ray image is having any other disease also.

License

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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