Medix is an innovative platform that combines the power of deep learning with advanced medical imaging technology to assist doctors and medical professionals in diagnosing lung-related abnormalities and brain tumors. Our mission is to enhance the accuracy and efficiency of medical diagnosis, enabling early detection and timely treatment of various medical conditions.
Python 3.11.3 (Recommended)
You can find all the Modules Imported in the app.py Here
- Download a Zip file or clone the Project using
https://github.com/k-arthik-r/Medix.git
- UnZip the file or check the cloned Project for all the files.
- Install all the requirements (Modules) using requirements.txt by
pip install -r requirements.txt
- Replace the MongoDB String, Database Name, Collection Name with Actual Values in app.py
- Run the project using app.py by
python app.py
- For Demonstration you can use X-ray or CT Scan Images present in the Test Datasets
https://www.kaggle.com/datasets/voidexiae/nih-chest-x-ray-voidex
You can find the Detailed Report of the CNN Model in this folder CNN Model
- Simple and Easy to use - Medix has been designed to promote simplicity so that every end user can use it without any problem.
- Cloud Storage - The Database used to Manage the data of the Medix is MongoDB Atlas, a Cloud storage service. One of the advantage of such is that multiple users can manipulate data from different places simutaneously.
- Large Dataset - The ML Model is trained and tested using a Large Dataset for better Accuracy. Read more Here
- ML Model - The Machine Learning Model trained is capable of Classifiying the Images into 18 Different classes Namely
- Atelectasis X-001
- Brain_Tumor X-002
- Cardiomegaly X-003
- Consolidation X-004
- Edema X-005
- Effusion X-006
- Emphysema X-007
- Fibrosis X-008
- Hernia X-009
- Infiltration X-010
- Mass X-011
- No_Brain_Finding X-012
- No_Lung_Finding X-013
- Nodule X-014
- Pleural X-015
- Pneumonia X-016
- Pneumothorax X-017
- Tuberculosis X-018
Demo.mp4
If you have any feedback, please reach out to us at voidex.developer@gmail.com . You are also welcomed to add new features by creating Pull Requests.