This is a tumor classifcation model which was created using python, cv2, imghdr, and matplotlib. it works by first filtering the datasets to make sure those data are proper working images without fake images or corrupted ones. Next we load the data, partition it as training and test data. and the by using keras we built a deep learning model. Next step we trained the model and plotted the performance to check for the accuracy and we tested it by comparing test data.

Project Gallery

Down below is a project gallery which contains all the images of the developed application.