To classify whether the lungs is normal or abnormal using X-ray images
Lung Disease Identification
Collect the required training images and create a folder under /Lung Disease Identifiction using DL/training_images/ and the folder should contain atleast 100 images for training the model.
Collect the required testing images and create a folder under /Lung Disease Identifiction using DL/testing_images/ and the folder should contain atleast 10 images for training the model.
Now, Run the train.py file which will create a model named #retrained.pb
Finally run the test.py file will give the result whether the given image is Normal or Abnormal with percentage of accuracy.
Note: Collecting Images should be of only X-ray images.