Brain Tumor Detection From Brain Mri Images With Deep Learning Methods;

Aykat, S.Aykat, Şükrü08.01. Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü08. Faculty of Engineering and Architecture / Mühendislik Mimarlık Fakültesi01. Mardin Artuklu University / Mardin Artuklu Üniversitesi2025-02-152025-02-1520249798331531492https://doi.org/10.1109/IDAP64064.2024.10710648https://hdl.handle.net/20.500.12514/6287In this research, a deep learning model is proposed for brain tumor detection using brain MRI image collection. Three pre-trained convolutional neural networks are used as feature extractors. The obtained features are classified as brain tumors, normal, and tumorous using four different classifiers. Our proposed model has achieved a remarkable accuracy of 99.58% in its analysis, which is better than standard techniques. In addition, the proposed method has shown better performance than the convolutional neural network models used in the analysis. © 2024 IEEE.tr10.1109/IDAP64064.2024.10710648info:eu-repo/semantics/closedAccessBrain MriBrain TumorDeep LearningBrain Tumor Detection From Brain Mri Images With Deep Learning Methods;derin Grenme Y Ntemleri Ile Beyin Mr G R Nt Lerinden Beyin T M R TespitiConference Object2-s2.0-852079535190