Publications by authors named "Bilgun Cetin"
Article Synopsis
- The study introduced the Explainable Mandibular Third Molar Convolutional Neural Network (E-mTMCNN) to enhance the detection of mandibular third molars in panoramic radiography, aiming to improve clinical decision-making in dentistry.
- A new dataset, the Mandibular Third Molar dataset, was created for the study, incorporating various image preprocessing techniques and demonstrating that the E-mTMCNN, built on GoogLeNet, achieved high performance metrics, including 87.02% classification accuracy.
- The model utilized Local Interpretable Model-Agnostic Explanations (LIME) for transparency in decision-making, and a survey of dental experts showed strong clinical acceptance and reliability of the system.
Application of Radiomics Features in Differential Diagnosis of Odontogenic Cysts.
Dentomaxillofac Radiol
November 2024
Article Synopsis
- The study aimed to differentiate between radicular cysts (RCs), dentigerous cysts (DCs), and odontogenic keratocysts (OKCs) using radiomic features as a non-invasive diagnosis method before surgery.
- A total of 161 cysts were analyzed through semi-automatic segmentation of CBCT images, focusing on various shape-based and textural features to assess their differences.
- Results indicated significant statistical differences in radiomic features among the cyst types, suggesting these features could help with differential diagnosis without needing a biopsy.
Objectives: This study aims to compare the effectiveness of the layered curriculum method (LCM) and project-based learning method (PBLM), on dental students in the evaluation of cysts and tumors affecting the jaws and surrounding tissues, which have an important place in dental practice.
Methods: Forty-nine 3rd-year dental students who agreed to participate in the study voluntarily were randomly divided into two groups: LCM and PBLM. Pre-test was administered to all students.
Aim: This study aimed to determine the changes in the temporomandibular joint due to ethnicity and to reveal gender differences.
Methods: This retrospective study included the evaluation of cone beam computed tomography (CBCT) images of 110 patients (220 temporomandibular joint {TMJs}), 64 dentulous (32 females, 32 males) and 46 edentulous (18 females, 28 males). Anterior, superior, and posterior joint spaces and the roof of the glenoid fossa (GF) were measured in sagittal views.