Brain Tumor Classification Using Deep Learning

• Ederson N. F. G. Júnior UFOP
• Guilherme S. M. C. Paes UFOP
• Pedro Silva UFOP

DOI: https://doi.org/10.5753/ercas.2024.238597

Abstract

Classification of brain tumors is a crucial challenge in the field of medicine and aided by computer science. This study seeks to improve the identification of brain tumors through the use of Convolutional Neural Networks (CNN), specifically the EfficientNetB0 architecture. Using magnetic resonance images, a identification is conducted with an accuracy of 99,33%.

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