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