BRAIN TUMOR CLASSIFICATION BY USING DEEP LEARNING

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Noğay H. S.

10th INTERNATIONAL CONGRESS ON ENGINEERING AND TECHNOLOGY MANAGEMENT, İstanbul, Türkiye, 14 - 15 Ekim 2023, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Abstract: Brain tumor is one of the most serious diseases known. Thanks to early and definitive diagnosis, the probability of survival may increase. Therefore, it is a known fact that early and definitive diagnosis is of vital importance in the treatment of brain tumors. Early and definitive diagnosis is possible by using deep learning methods. In this study, quadruple classification was achieved by applying a generalizable and reliable deep learning model. In the study, the ResNet18 pre-trained network was rearranged and tested using the transfer learning technique as a deep learning model. As a result of the test, a brain tumor was predicted and classified with an accuracy rate of 91.53%. Keywords: Brain Tumor, Deep Learning, DCNN, Pre-Trained ResNet18, Transfer Learning