Brain Tumor Detection using Deep CNNs and Ensemble Algorithms over MRI Images

Authors : Ezgi Özer

Pages : 142-150

Doi:10.53070/bbd.1455902

View : 3 | Download : 0

Publication Date : 2024-12-25

Article Type : Research Paper

Abstract :Brain tumors are one of the most common causes of human death. Early and accurate diagnosis of brain tumors is very important for effective treatment. Different learning techniques have been used in the field of health to diagnose diseases early and reduce the intensity of experts, as well as to minimize errors that may be made in diagnosis. In recent years, successful results have begun to be obtained in image processing studies in brain research, with the development of machine learning and deep learning models. In this study, pretrained deep convolution neural network methods are preferred to feature extraction from MRI images, and ensemble learning is performed to detect the tumor from extracted features. Analysis results show a 100% accuracy score, using the ensemble-based classifier with the pretrained deep networks to detect brain tumors.
Keywords : Tümör Tespiti, Özellik Çıkarma, Önceden Eğitimli Öğrenme, Güçlendirme