DETERMINING THE TYPE OF BRAIN TUMOR BASED ON MRI IMAGES OF THE ENDOCRANIUM USING ARTIFICIAL INTELLIGENCE METHODS
DOI:
https://doi.org/10.24867/30BE20StojicKeywords:
Image classification, Computer vision, Brain tumor, Fine-tuning of pre-trained modelAbstract
The goal of the work is a faster and more reliable classification of the type of tumor using artificial intelligence methods. Solving the problem of classifying MRI images into tumor types. The solution was implemented by fine-tuning parameters on three pre-trained models, Resnet50, DenseNet121, and EfficientNet-B3. The best result was obtained by fine-tuning the parameters on the pre-trained EfficientNet-B3 model, with an accuracy of 98%.
References
[1] https://www.abta.org/about-brain-tumors/brain-tumor-education/ (pristupljeno u avgustu 2024.)
[2] D. N. Louis et al., "The 2016 World Health Organization classification of tumors of the central nervous system: a summary," Acta Neuropathologica, 2016.
[3] Q. T. Ostrom et al., "CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016," Neuro-oncology, 2019.
[4] J. Hardy and J. Rees, "Pituitary tumours: diagnosis and management," Postgraduate Medical Journal, 2008.
[5] World Health Organization, "Global health workforce statistics," 2022.
[6] J. Smith and A. Lee, Advances in brain tumor classification and detection, Springer, 2023.
[7] https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri?resource=download (pristupljeno u avgustu 2024.)
[2] D. N. Louis et al., "The 2016 World Health Organization classification of tumors of the central nervous system: a summary," Acta Neuropathologica, 2016.
[3] Q. T. Ostrom et al., "CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016," Neuro-oncology, 2019.
[4] J. Hardy and J. Rees, "Pituitary tumours: diagnosis and management," Postgraduate Medical Journal, 2008.
[5] World Health Organization, "Global health workforce statistics," 2022.
[6] J. Smith and A. Lee, Advances in brain tumor classification and detection, Springer, 2023.
[7] https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri?resource=download (pristupljeno u avgustu 2024.)
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Published
2025-03-06
Issue
Section
Electrotechnical and Computer Engineering
