DEVELOPING A SYSTEM FOR CLASSIFYING THE BURNS USING A NEURAL NETWORK

Abstract

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