AÇIKLANABİLİR YAPAY ZEKA YÖNTEMLERİYLE MR GÖRÜNTÜLERİNDEN BEYİN TÜMÖRÜ TESPİTİ

Muhammet Doğukan İli; Fatih Özyurt

doi:10.17780/ksujes.1614945

EN TR

BRAIN TUMOR DETECTION FROM MRI IMAGES WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE METHODS

Abstract

In this study, the aim is to detect brain tumors from MR images using explainable artificial intelligence methods. GradCAM, LIME, and Shapley visualization methods were utilized as part of CNN models in the study. The classification in the model developed during the study was examined under four groups: No Tumor, Glioma, Meningioma, and Pituitary. As a result of the study, GradCAM proved effective in identifying the general focus areas of the model, LIME provided a detailed explanation of the model's decisions, and Shapley revealed the overall performance and shortcomings of the model. The combined use of these techniques enables the provision of more data or the implementation of necessary improvements to ensure the model works more reliably and effectively.

Keywords

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Muhammet Doğukan İli ^*
0009-0006-1518-0720
Türkiye

Fatih Özyurt
0000-0002-8154-6691
Türkiye

Yayımlanma Tarihi

3 Haziran 2025

Gönderilme Tarihi

7 Ocak 2025

Kabul Tarihi

18 Nisan 2025

Yayımlandığı Sayı

Yıl 1970 Cilt: 28 Sayı: 2

DOI

https://doi.org/10.17780/ksujes.1614945

IZ

https://izlik.org/JA25SU45UA

Kaynak Göster

RIS / Bibtex

APA

İli, M. D., & Özyurt, F. (2025). AÇIKLANABİLİR YAPAY ZEKA YÖNTEMLERİYLE MR GÖRÜNTÜLERİNDEN BEYİN TÜMÖRÜ TESPİTİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(2), 1092-1109. https://doi.org/10.17780/ksujes.1614945

BRAIN TUMOR DETECTION FROM MRI IMAGES WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE METHODS

Abstract

Keywords