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Open access Aug 2026

Automated Tooth Numbering and Periodontal Bone Loss Severity Detection Using Residual U-Net and Tooth Long Axis in Panoramic Radiography

Periodontitis is a major cause of tooth loss, and its assessment from panoramic radiographs remains subjective. This study proposes an integrated framework for automatic tooth numbering and periodontal bone loss severity assessment using a residual U-Net architecture. The framework performs cemento-enamel junction (CEJ...

Widi Arrohman, A. Fariza, Muhammad Udin Harun Al Rasyid et al. · 0 citations
Open access Oct 2026

Automated Detection and Segmentation of Dental Caries in Panoramic Radiographs Using YOLOv8-Based Deep Learning Model

Abstract Objectives This study aimed to develop an automated dental caries localization system through detection and classification using a deep learning (DL) approach based on You Only Look Once Version 8 (YOLOv8). Materials and Methods YOLOv8 models were developed using 750 panoramic radiographs, which were divided i...

R. Putra, E. Astuti, Aga Satria Nurrachman et al. · 0 citations
Review Open access Oct 2026

Deep Learning for Automated Assessment of Mandibular Alveolar Bone Quality and Quantity on Cone Beam Computed Tomography for Dental Implant Planning: A Narrative Review

Background: Dental implants have become a preferred option for rehabilitating tooth loss, yet their success depends heavily on the quality and quantity of the alveolar bone at the planned implant site. Cone Beam Computed Tomography (CBCT) is the standard imaging modality for pre-surgical bone assessment, but manual mea...

Kelsa Angelina Cen, E. Astuti, R. Putra · 0 citations
#data science Review Open access Oct 2026

A review of manual, semi-automatic, and automated methods in dental radiographic analysis for clinical and forensic diagnosis

Dental radiography serves as a crucial tool in clinical diagnosis, treatment planning, and forensic identification. Advances in imaging technologies such as panoramic radiography orthopantomogram (OPG), periapical imaging, and cone-beam computed tomography (CBCT) have significantly enhanced diagnostic capabilities. In...

Nur Nafi'iyah, Rifky Aisyatul Faroh, E. Astuti et al. · 0 citations
Review Open access Aug 2026

Convolutional neural network for automated identification of periodontal bone loss on panoramic radiographs: A task-based narrative review

CNN shows strong potential for the accurate and rapid automated identification of PBL on panoramic radiographs through classification, detection, and segmentation approaches, and may assist dentists in diagnosing periodontal disease; however, small dataset size, limited image quality, and the absence of accompanying cl...

Aga Satria Nurrachman, R. Putra, Tsabitha Salwanastiti et al. · 0 citations

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