A project that is used to predict whether a patient is corona positive or not. It uses CNN(Convolutional Neural Network) for the processing of the chest x-ray image. The reason for choosing this method is because it is more cheap, economical, and accurate as compared to other methods.
- for corona positive dataset [https://github.com/ieee8023/covid-chestxray-dataset.git]
- for corona negative dataset [https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia]
First thing first download the database and store it in the folder where the database preparation pynotebook is stored. Then in the dataset creation file add the image path in the image variable and csv file in the file variable.
Similarly store the file in the respective variable and use that to acess the database.
After making a saperate list of covid positive and negative patients you can further segregate both dataset to train and validation set and use it in the COVID19 DETECTOR file. But here in this file I've used an already prepared train and validation set.
I've just made and trained a neural network. You can use this and save it in different format to deploy it in different and do the modification of your own to make it even better.