Table of Contents
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![Med-I[Med-I]](https://i.imgur.com/QdUs5UC.png)
The main purpose of this project is to make the medical scan examination process more efficient economically and also with respect to time. Moreover, Medicinal errors influence one of each 10 patients around the globe. Specialists took an investigation at concentrates that analysed the restorative demise rate data from 2010 to 2018 and extrapolated that in excess of 250,000 deaths for every year had begun from a helpful mix-up, which implies 9.5% of all deaths consistently alone in the US.
This framework that we have proposed diminishes the odds of this human blunder caused in the field of prescription. The target of this venture or framework is to make a web application which is an entry that can be accessed freely by anybody around the globe. Honestly by making the framework open source we are intending to go past the requirements that we have now and making it available to others to both build up the framework and utilise the framework free of expense. We have received a procedure by the help of open source structures. This framework that we have proposed diminishes the odds of this human blunder caused in the field of prescription.
The model proposed in this project have gone a bit more technically advanced and computerised this procedure of distinguishing irregularities inside the cerebrum with the assistance of Artificial Intelligence.The objective of this project or system is to make a web application which is a portal that can be accessed freely by anyone around the world. The technology which has been deployed for the system to become automated by making the system learn and predicting on its own is Convolutional Neural Network
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
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pip
Download the script, from https://bootstrap.pypa.io/get-pip.py.
python get-pip.py
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npm
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Clone the repo
git clone https://github.com/aakashvarma/Med-I/tree/master
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Install NPM packages
npm install
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Start the node server
cd Backend node index.js -
Start the python server
cd Python_files python3 app.py -
Upload the scan, either MRI or CT
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![Upload-Image[upload-Image]](https://i.imgur.com/7DOXtzT.png)
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Upload the appropriate details as asked in the form
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Get the medical report
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![Final-Report[Final-report]](https://i.imgur.com/41KsUR9.png)
Hemorrhage dataset - https://www.kaggle.com/mrdvolk/head-ct-hemorrhage-detection-with-keras/data
Alzheimer's dataset - https://www.kaggle.com/tourist55/alzheimers-dataset-4-class-of-images
Tumour dataset - https://www.iccr-cancer.org/datasets
- Add auto email support for final medical report
- Add MRI and CT scan support
- [] Add multi input image dimension support
- [] Make a scalable backend
- [] Multi-disease Support which use computer vision
- [] Eye disorders
- [] Skin disorders
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Your Name - @varmology - aakashvarma18@gmail.com
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