KAFATASI KIRIKLARININ TEŞHİSİNDE YAPAY ZEKÂ: GÜNCEL DERİN ÖĞRENME MİMARİ PERFORMANSLARI

Fidan Kaya Gülağız; Tuğrul Hakan Gençtürk; İsmail Kaya

doi:10.17780/ksujes.1515526

TR EN

KAFATASI KIRIKLARININ TEŞHİSİNDE YAPAY ZEKÂ: GÜNCEL DERİN ÖĞRENME MİMARİ PERFORMANSLARI

Öz

Kafa travmaları, ciddi sonuçlara yol açabilen ve etkileri uzun yıllar sürebilecek sağlık sorunlarından biridir. Teşhis, ilk aşamada nörolojik muayene ile başlar ve gerektiğinde bilgisayarlı tomografi (BT) kullanılır. Kafatası kırıkları, diğer kafa travmalarına göre daha ciddi hasarlara eşlik ederler ve sıkça görülür. Özellikle ilk müdahalenin pratisyen hekimler ve acil uzmanları tarafından yapılması, BT görüntülerinin yorumlanmasında uzmanlık ve destek gerektirir. Bu noktada, özellikle ilk teşhis ve tanı aşamasında hekimlere destek olacak yapay zeka tekniklerinin varlığı büyük bir önem taşımaktadır. Bu çalışmada kafatası kırığının tespiti için kullanılabilecek dört farklı mimarinin alt modelleriyle birlikte kapsamlı bir karşılaştırması yapılmıştır. Bu amaçla Verimli Sinir Ağı (EfficientNet), Artık Ağlar (ResNet), Residual Networks with Aggregated Residual Transformations (ResNeXt) ve Maximum Vision Transformer (MaxVit) mimarileri çalışmaya dahil edilmiştir. Modellerin kafatası kırığını sınıflandırma açısından başarısı çalışmaya özgü olarak toplanan kapsamlı ve güncel bir veri kümesi üzerinden gösterilmiştir. Deneysel sonuçlar ile hem hangi yöntemin kafatası kırığı açısından daha uygun ve doğru sonuçlar verdiği ortaya konulmuş hem de güncel derin öğrenme mimarilerinin bu alandaki durumu özetlenmiştir.

Anahtar Kelimeler

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Details

Primary Language

Turkish

Subjects

Deep Learning

Journal Section

Research Article

Authors

Fidan Kaya Gülağız ^*
0000-0003-3519-9278
Türkiye

Tuğrul Hakan Gençtürk
0000-0002-2736-271X
Türkiye

İsmail Kaya
0000-0002-4128-5845
Türkiye

Publication Date

March 3, 2025

Submission Date

July 12, 2024

Acceptance Date

October 4, 2024

Published in Issue

Year 1970 Volume: 28 Number: 1

DOI

https://doi.org/10.17780/ksujes.1515526

IZ

https://izlik.org/JA46BE85GY

Cite

RIS / Bibtex

APA

Kaya Gülağız, F., Gençtürk, T. H., & Kaya, İ. (2025). KAFATASI KIRIKLARININ TEŞHİSİNDE YAPAY ZEKÂ: GÜNCEL DERİN ÖĞRENME MİMARİ PERFORMANSLARI. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 51-64. https://doi.org/10.17780/ksujes.1515526

ARTIFICIAL INTELLIGENCE IN SKULL FRACTURE DIAGNOSIS: CURRENT DEEP LEARNING ARCHITECTURE PERFORMANCES

KAFATASI KIRIKLARININ TEŞHİSİNDE YAPAY ZEKÂ: GÜNCEL DERİN ÖĞRENME MİMARİ PERFORMANSLARI

Öz

Anahtar Kelimeler

ARTIFICIAL INTELLIGENCE IN SKULL FRACTURE DIAGNOSIS: CURRENT DEEP LEARNING ARCHITECTURE PERFORMANCES

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