IMPROVING THE BURN CLASSIFICATION SYSTEM BY A NEURAL NETWORK BY DATABASE AUGMENTATION

Abstract

The method of image recognition and classification of burns by neural network is presented. The method was developed by convolutional neural network, using the Conv2D, Max Pooling, Flatten layers. The accuracy of the training and validation data was used for the model evaluation, and the Confusion Matrix and the Principal Component Analysis methods were used for dataset evaluation.