Machine Learning approach to diagnose COVID-19 via X-Ray images (image classification)
This repository contains an extraordinary project! Machine learning is helping medical doctors to obtain maximum accuracy!
- First you need to train your model. use folder Train. Run maincode to build your model.
NOTICE: for Inception V3, you need to change input image sizes.
Dataset folder should have two subfolders. NORMAL and COVID.
Models will be savel in a folder with this name. - Second step is related to Google Cloud Platform.
main.py is handler function which calls our ML model on server and use its power to evaluate images!
NOTICE that you should put your prefered .h5 model in this folder and modify the code. - Now it's time to run our site! you can use my theme!
script.js contains all JS we need to transfer images and results!
Notice that the models in this repository are trained by images collected by my own!
Reza Amini Gougeh. An Online Automatic Corona Diagnose System Based on Chest X-ray Images, 22 September 2020, PREPRINT (Version 1) available at Research Square [+https://doi.org/10.21203/rs.3.rs-64472/v1+]
| Name | Description |
|---|---|
| Michaël Defferrard | Created the first versions of ONLINE Diagnosing system! |
| Adrian Rosebrock | Awsome in image processing! |
| Cohen et. al | Collected the image dataset |