Yazar "Gulses, Aydin" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    A Deep Learning Approach for Classification of Dentinal Tubule Occlusions
    (Taylor & Francis Inc, 2022) Duru, Anday; Karas, Ismail Rakip; Karayurek, Fatih; Gulses, Aydin
    This study aimed to develop a novel deep learning model for reliable quantification of dentinal tubule occlusions instead of manual assessment techniques, and the performance of the model was compared to other methods in the literature. Ninety-six dentin samples were cut and prepared with desensitizing agents to occlude dentinal tubules on different levels. After obtaining images via scanning electron microscope (SEM), 2793 single dentinal tubule images with 48 x 48 resolution were segmented and labeled. Data augmentation techniques were applied for improvement in the learning rate. The augmented data having a total of 10700 images belonging to five classes were used as the network training dataset. The proposed convolutional neural network (CNN) is a class of deep learning model and was able to classify the degree of dentinal tubule occlusions into five classes with an overall accuracy rate of 90.24%. This paper primarily focuses on developing a CNN architecture for detecting the level of dentin tubule occlusions imaged by SEM. The results showed that the proposed CNN architecture is an immensely successful alternative and allowed for objective and automatic classification of segmented dentinal tubule images.
  • Küçük Resim Yok
    Öğe
    DEPRESSION AND ANXIETY LEVELS IN A GROUP OF ELDERLY WITH TEMPOROMANDIBULAR DISORDERS
    (Gunes Kitabevi Ltd Sti, 2021) Cebi, Ahmet Taylan; Yilmaz, Nihat; Karayurek, Fatih; Gulses, Aydin
    Introduction: The objective of this study was to assess stress and anxiety in a sample of elderly patients suffering from temporomandibular joint disorders who did not have previously diagnosed emotional disturbances. It is well known that patients presenting with temporomandibular joint disorders are more commonly affected by anxiety and depression. However, there is a lack of data regarding the prevalence of undiagnosed anxiety and emotional stress disorders among elderly patients with temporomandibular joint disorders. Materials and Method: Clinical examination was performed using Research Diagnostic Criteria (Axis I). Patients with previously diagnosed and managed psychiatric and psychological disorders were excluded. Magnetic resonance imaging findings were also used to confirm the diagnosis. Beck Depression Inventory and Beck Anxiety Inventory forms were obtained to assess stress and anxiety levels. Results: A total of 125 patients (103 [82.4%] women and 22 [17.6%] men) aged 60 to 87 (71.89 +/- 10.39) years were included. The highest depression and anxiety scores were found among patients suffering from bruxism, followed by those with disc displacement without reduction and myofascial pain syndrome. All the patients showed significantly elevated depression levels. Conclusion: The emotional health status of elderly patients with intraand extra-articular temporomandibular joint disorders should be attentively assessed.