Artificial Intelligence Usage in Colonoscopy for Polyps in 2025: A Short Review

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Bilgin S., Adanır H., Açıkgöz A., Fidan Özkumur G., Uslu F. K., Karataş S. İ., ...Daha Fazla

International Conference on Next-Generation Engineering Technologies (ISNET'2025), Antalya, Türkiye, 30 Ekim - 01 Kasım 2025, ss.42-43, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.42-43
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Colorectal cancer (CRC) is among the most common cancers worldwide, with polyps serving as key precancerous indicators. Recent studies emphasize that simple detection is insufficient; accurate classification into subcategories is critical for clinical decision-making. Deep learning approaches, including MobileNet, ResNet, GoogLeNet, and Vision Transformers, have been applied, achieving accuracies up to 98.87%. Overall, integrating multiple artificial intelligence (AI) models improves diagnostic accuracy and supports gastroenterologists, though real-world imaging challenges persist.