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Full-Text Articles in Medicine and Health Sciences
Prevalence And Clinical Characteristics Of Temporomandibular Disorders In Adults: An Epidemiological Study In The Mediterranean Region Of Türkiye, Esra Yavuz, Selmi Yardimci, Humeyra Tercanli
Prevalence And Clinical Characteristics Of Temporomandibular Disorders In Adults: An Epidemiological Study In The Mediterranean Region Of Türkiye, Esra Yavuz, Selmi Yardimci, Humeyra Tercanli
Journal of Dentistry Indonesia
The prevalence and clinical characteristics of temporomandibular disorders (TMD) in the Mediterranean region of Türkiye have not yet been thoroughly investigated. Objective: This study aimed to determine the prevalence and severity of TMD in a sample of the population in this region and to characterize the clinical findings related to TMD. Methods: Four hundred and one participants were included in this study. “Presence of TMD” in the participants was evaluated using the Fonseca Anamnestic Index. Through clinical examination, the findings in the participants were classified as limited mouth opening, deviation, temporomandibular joint (TMJ) sounds, TMJ pain, and muscle …
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa
Journal of Dentistry Indonesia
Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …