Список литературы

2518-1092

Research result. Information technologies

2518-1092

10.18413/2518-1092-2025-10-1-0-8

3750

ARTIFICIAL INTELLIGENCE AND DECISION MAKING

<strong>RECOGNITION AND CLASSIFICATION OF MRI IMAGES OF THE BRAIN USING THE NEURAL NETWORKS</strong>

Yasser

Muhanad Jabar

Yasser

Muhanad Jabar

muhaned.yaser@stu.edu.com

Al Janzeer

Zualfekar Munif

Al Janzeer

Zualfekar Munif

689419@bsuedu.ru

2025

10100

The article presents a study devoted to the development of neural network tools for classifying magnetic resonance imaging (MRI) images. The study is devoted to solving a pressing scientific and technical problem aimed at improving the accuracy of diagnosing oncological diseases of the human brain. A model based on the use of a feedforward neural network is proposed. The model has three hidden layers of neurons using the Relu activation function. The output layer of neurons uses the Softmax activation function. The network was created using the Keras library and the OpenCV software library. The sizes of images used as training data are substantiated. The study showed that 38 training cycles are sufficient to configure such a neural network. The performance of the proposed neural network was tested, which showed high accuracy of image classification results. The use of this model allows to increase the accuracy of diagnosing oncological diseases of the human brain by 9.6% compared to traditional methods.

Feed Forward Neural Networkimage recognitionmagnetic resonance imagingKerasbrain oncology

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