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Author

E. Astuti

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6 papers indexed here

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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

Bone loss severity evaluation on 265 teeth from 10 panoramic radiographs shows that the OBB-based approach outperforms axis-aligned bounding boxes (AABB) method, improving accuracy from 0.61 to 0.63 and macro-F1 score from 0.45 to 0.47.

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...

K. Cen, E. Astuti, R. Putra · 0 citations
Review Open access Sep 2026

Deep Learning for Automated Segmentation of the Edentulous Region on Cone Beam Computed Tomography for Dental Implant Planning: A Narrative Review

Convolutional neural network-based architectures have been applied to automatically delineate the edentulous alveolar ridge together with the mandibular canal and maxillary sinus, achieving accuracy that approaches manual segmentation performed by experienced clinicians while considerably shortening analysis time.

Rene Agatha, E. Astuti, Alhidayati Asymal · 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
Open access Jul 2026

A pop-up laser-based cone alignment tool for bisecting-angle periapical radiography: Prototype development and pilot user-experience evaluation

A pop-up laser-based cone-alignment accessory developed and evaluated its initial operator-perceived user experience exclusively in a dental X-ray manikin simulation demonstrated favourable preliminary acceptance under controlled simulation, but neither clinical effectiveness nor patient safety can be inferred.

Dewi Kartika, E. Astuti, Sondang Pintauli et al. · 0 citations

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