Comparative analysis of transformer, CNN, and YOLO architectures for mandibular condyle segmentation on panoramic radiographs: a deep learning benchmark
Comparative analysis of transformer, CNN, and YOLO architectures for mandibular condyle segmentation on panoramic radiographs: a deep learning benchmark
Hakan Avsever, Murat Taşyürek, Serkan Yılmaz, Buğra Şenel et al.
Journal
BMC Oral Health
Topics
Dental Radiography and Imaging
article
Comparative analysis of transformer, CNN, and YOLO architectures for mandibular condyle segmentation on panoramic radiographs: a deep learning benchmark
Hakan Avsever, Murat Taşyürek, Serkan Yılmaz, Buğra Şenel, Mehmet Hakan Kurt, Hatice Seda Özgedik, Serdar Öztürk
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC Oral HealthVol. 26(1)
Institutions
Ankara University (TR), Niğde Ömer Halisdemir Üniversitesi (TR), Gülhane Askerî Tıp Akademisi (TR), Kayseri Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
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Comparative analysis of transformer, CNN, and YOLO architectures for mandibular condyle segmentation on panoramic radiographs: a deep learning benchmark — Hakan Avsever, Murat Taşyürek, et al. · BMC Oral Health (2026) | TGRS Research Map | TGRS