Automatic maxillary sinus segmentation and pathology classification on cone-beam computed tomographic images using deep learning

• Main Authors: Oğuzhan Altun (Author), Duygu Çelik Özen (Author), Şuayip Burak Duman (Author), Numan Dedeoğlu (Author), İbrahim Şevki Bayrakdar (Author), Gözde Eşer (Author), Özer Çelik (Author), Muhammed Akif Sümbüllü (Author), Ali Zakir Syed (Author)
• Format: Book
• Published: BMC, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Maxillofacial complex automated segmentation could alternative traditional segmentation methods to increase the effectiveness of virtual workloads. The use of DL systems in the detection of maxillary sinus and pathologies will both facilitate the work of physicians and be a suppo...