Building CNN Models To Detect COVID-19 From Medical Images.

Sample images from the DICOM File

The images used in this Model came from two different sources, Kaggle.com and The Division Of Infectious Diseases at UofL.

Import the python libraries

Import the data and create variables

Label and Count the images used (x-rays or Images.DICM)

Split the data (Train -Test- Validate)

Generating and Fitting

Plotting the results

A sample of the the results

Fetch and Visualize the Images

Visualize the first 40 Images

Visualize X_train, X_test

Model Accuracy

Please add your comments or send an email to the author at yamors01@louisville.edu. Some codes are missing in this article as I am focusing on the RESULTS ONLY .