Canayaz, MuratYokuş, AdemYüksek, MehmetArslan, HarunAkdemir, Zülküf2026-04-022026-04-0220241878-875010.1016/j.wneu.2024.01.1292-s2.0-85186373891https://hdl.handle.net/123456789/30252https://doi.org/10.1016/j.wneu.2024.01.129eninfo:eu-repo/semantics/closedAccessDeep LearningModic ChangesConvolutional Neural NetworksArtificial IntelligenceThe Success of Deep Learning Modalities in Evaluating Modic ChangesArticle