Konu "Deep learning" için listeleme

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Classification of morphological variations of mandibular condyle in panoramic radiographs with a deep learning approach

Yüce, Fatma; Öziç, Muhammet Usame; Büyük, Cansu (Springer Nature, 2025)

in panoramic radiographs. Materials and Methods A total of 1,056 panoramic radiographs, containing 2,112 healthy mandibular condyles, were used in the study. The dataset was split into training (~80%), validation (~10%), ...
Deploying a novel deep learning framework for segmentation of specifc anatomical structures on cone‑beam CT

Yüce, Fatma; Büyük, Cansu; Bilgir, Elif; Çelik, Özer; Bayrakdar, İbrahim Şevki (Springer, 2025)

Aim Cone-beam computed tomography (CBCT) imaging plays a crucial role in dentistry, with automatic prediction of ana tomical structures on CBCT images potentially enhancing diagnostic and planning procedures. This study ...