Chest-Xrays-Pneumonia-Prediction

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Chest-Xrays-Pneumonia-Prediction

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Chest-Xray-Pneumonia-Prediction built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts.

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<h1 align="center">Chest-Xrays-Pneumonia-Prediction</h1>

<div align= "center">
 <h4>Chest-Xray-Pneumonia-Prediction built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts. </h4>
</div>

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<img src="https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/Outputs/Non%20pneumonia.png" width="700" height="400">
Non Pneumonia

## :innocent: Motivation
A Deep Learning based model used for the prediction whether a person is suffering from pneumonia or not. The project is absed upon the Standard __Convolutional Based Neural Network__ Architectural Implementation. It incorporates the use of CNN layers with Hyper-parameters tuning. The motivation behind the project is to effectively classify the reports of chest xrays to classify into pneumonia or non-pneumonia cases.
 The model has been trained for 12 epoch. The model gave an accuracy of __98.51__ on validation sets.

Case of Pneumonia

## :⚠: TechStack/framework used

- [OpenCV](https://opencv.org/)
- [Keras](https://keras.io/)
- [TensorFlow](https://www.tensorflow.org/)

## :file_folder: Data Distribution
The dataset used can be downloaded here - [Click to Download](https://drive.google.com/drive/folders/1f6QGKHQ2rJD3jCrumAKXPbUg_Q8TenFz?usp=sharing)

This dataset consists of __images__ belonging to 2 classes:

## :star: Features
Our model is capable of predicting Pneumonia from chest x-ray images with high efficiency. These __predicted images__ are converted to grayscale version for predictions.
The model is efficient, since we used a compact __CNN-based architecture__, it’s also computationally efficient and thus making it easier to deploy the model to servers.

## :key: Prerequisites

All the dependencies and required libraries are included in the file <code>requirements.txt</code> [See here](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/requirements.txt)

## 🚀&nbsp; Installation
1. Start and fork the repository.

2. Clone the repo
```
$ git clone https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction.git
```

3. Change your directory to the cloned repo and create a Python virtual environment named 'test'
```
$ mkvirtualenv test
```

4. Now, run the following command in your Terminal/Command Prompt to install the libraries required
```
$ pip3 install -r requirements.txt
```

## :bulb: Working

1. Open terminal. Go into the cloned project directory and type the following command:
```
$ python3 jupyter
```

2. To train the model, open the [Pneumonia_Prediction](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/PNEUMONIA_DETECTION.ipynb) file in jupyter notebook and run all the cells

## :key: Results 
#### Our model gave 98.51% accuracy for validation set of Pneumonia Detection via <code>tensorflow-gpu==2.0.0</code>
 
* The model has been trained on a python based environment on Jupyter platform.
* The model is iterated for a total epoch of 12. 
* The model has attained an accuracy of __98.51 %__ accuracy on the Validation set.

#### We got the following accuracy vs. epochs curve plot
![](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/Outputs/accuracy%20vs%20epochs.png) 
#### The above figure shows the Accracy plot of the model throughout it's training journey.

![](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/Outputs/loss%20vs%20epochs.png) 
#### The above figure shows the Loss plot of the model throughout it's training journey.

## :clap: And it's done!
Feel free to mail me for any doubts/query 
:email: dheeraj.sharma18@vit.edu

## :handshake: Contribution
Feel free to **file a new issue** with a respective title and description on the the [Pneumonia_Detection](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/issues) repository. If you already found a solution to your problem, **I would love to review your pull request**!

## :heart: Owner
Made with :heart:&nbsp;  by [Dheeraj Sharma](https://github.com/dheerajsharma0401)

## :+1: Credits
* [https://www.pyimagesearch.com/](https://www.pyimagesearch.com/)
* [https://opencv.org/](https://opencv.org/)

## :handshake: Our Contributors
[CONTRIBUTORS.md](/CONTRIBUTORS.md)

## :eyes: Code of Conduct

You can find our Code of Conduct [here](/CODE_OF_CONDUCT.md).

## :eyes: License
MIT © [Dheeraj Sharma](https://github.com/dheerajsharma0401/Chest-Xrays-Pneumonia-Prediction/blob/main/LICENSE)

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