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View article: Evaluation of Apical Closure in Panoramic Radiographs Using Vision Transformer Architectures ViT-Based Apical Closure Classification
Evaluation of Apical Closure in Panoramic Radiographs Using Vision Transformer Architectures ViT-Based Apical Closure Classification Open
Objective: To evaluate the performance of vision transformer (ViT)-based deep learning models in the classification of open apex on panoramic radiographs (orthopantomograms (OPGs)) and compare their diagnostic accuracy with conventional co…
View article: Evaluation of Deterioration in Brick Materials in Monumental Buildings Using CNN Models
Evaluation of Deterioration in Brick Materials in Monumental Buildings Using CNN Models Open
The materials of historical structures undergo deterioration and deformation over time due to physical, chemical, and biological factors. Regular inspections by experts are essential for the preservation of these structures. However, the d…
View article: Applying deep learning techniques to identify tonsilloliths in panoramic radiography
Applying deep learning techniques to identify tonsilloliths in panoramic radiography Open
Tonsilloliths can be seen on panoramic radiographs (PRs) as deposits located on the middle portion of the ramus of the mandible. Although tonsilloliths are clinically harmless, the high risk of misdiagnosis leads to unnecessary advanced ex…
View article: Artificial Intelligence in Oral Diagnosis: Detecting Coated Tongue with Convolutional Neural Networks
Artificial Intelligence in Oral Diagnosis: Detecting Coated Tongue with Convolutional Neural Networks Open
Background/Objectives: Coated tongue is a common oral condition with notable clinical relevance, often overlooked due to its asymptomatic nature. Its presence may reflect poor oral hygiene and can serve as an early indicator of underlying …
View article: Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs
Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs Open
Aim: This study aimed to perform clinical diagnosis and treatment planning of mucous retention cysts with high accuracy and low error using the deep learning-based EfficientNet method. For this purpose, a hybrid approach that distinguishes…
View article: YOLOv8-Based System for Nail Capillary Detection on a Single-Board Computer
YOLOv8-Based System for Nail Capillary Detection on a Single-Board Computer Open
Nail capillaroscopic examination is an inexpensive and easily applicable method to identify capillary morphological changes in patients with conditions such as systemic sclerosis and Raynaud’s. The detection of changes in capillaries makes…
View article: Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals
Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals Open
Objective: One of the serious mental disorders in which people interpret reality in an abnormal situation is schizophrenia. A combination of extremely disordered thoughts, delusions, and hallucinations occurs due to schizophrenia, and the …
View article: Utilizing Aerobic Capacity Data for EDSS Score Estimation in Multiple Sclerosis: A Machine Learning Approach
Utilizing Aerobic Capacity Data for EDSS Score Estimation in Multiple Sclerosis: A Machine Learning Approach Open
The Expanded Disability Status Scale (EDSS) is the most popular method to assess disease progression and treatment effectiveness in patients with multiple sclerosis (PwMS). One of the main problems with the EDSS method is that different re…
View article: Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment
Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment Open
Urine sediment examination (USE) is an essential aspect in detecting urinary system diseases, and it is a prerequisite for diagnostic procedures. Urine images are complex, containing numerous particles, which makes a detailed analysis and …
View article: Determination of Ataxia with EfficientNet Models in Person with Early MS using Plantar Pressure Distribution Signals
Determination of Ataxia with EfficientNet Models in Person with Early MS using Plantar Pressure Distribution Signals Open
Multiple Sclerosis (MS) is a central nervous system disease that causes ataxia and balance disorders. In ataxia, the first symptom is usually seen as gait disturbance. In gait ataxia, symptoms can be clinically defined by shortened stride …
View article: Hybrid Artificial Intelligence Approach to COVID-19 Diagnosis from CT Images: Deep Networks and Classification Analysis
Hybrid Artificial Intelligence Approach to COVID-19 Diagnosis from CT Images: Deep Networks and Classification Analysis Open
Using lung images obtained by computed tomography (CT), this study aims to detect coronavirus (Covid-19) disease with deep learning (DL) techniques. The study included 751 lung CT images from 118 Covid-19 patients and 628 lung CT images fr…
View article: Evrişimsel Sinir Ağları Kullanarak ÇKA Sınıflandırıcısı ile Mide Displazisinin Tespiti
Evrişimsel Sinir Ağları Kullanarak ÇKA Sınıflandırıcısı ile Mide Displazisinin Tespiti Open
Son yıllarda Dünya’da ve Türkiye’de yapılan araştırmalarda da görüldüğü üzere mide kanseri diğer kanser türlerine oranla ilk sıralarda yer almaktadır. Tespit edilme açısından da oldukça zorluk çekilen bir kanser türü olarak bilinmektedir. …
View article: Performance Comparison of Standard Polysomnographic Parameters Used in the Diagnosis of Sleep Apnea
Performance Comparison of Standard Polysomnographic Parameters Used in the Diagnosis of Sleep Apnea Open
Obstructive sleep apnea (OSAS), which is one of the leading sleep disorders and can result in death if not diagnosed and treated early, is most often confused with snoring. OSAS disease, the prevalence of which varies between 0.9% and 1.9%…
View article: Detection of Tongue Anomalies Using Convolutional Neural Networks
Detection of Tongue Anomalies Using Convolutional Neural Networks Open
View article: Real-Time Detection and Identification of Suspects in Forensic Imagery Using Advanced YOLOv8 Object Recognition Models
Real-Time Detection and Identification of Suspects in Forensic Imagery Using Advanced YOLOv8 Object Recognition Models Open
Rapid advancements in artificial intelligence, machine learning, deep learning, coupled with easy access to high-capacity processing hardware, expansive organized datasets, and the evolution of artificial intelligence algorithms, have exte…
View article: Age-Net: An Advanced Hybrid Deep Learning Model for Age Estimation Using Orthopantomograph Images
Age-Net: An Advanced Hybrid Deep Learning Model for Age Estimation Using Orthopantomograph Images Open
Forensic odontology, recognized as a fundamental and reliable technique in human identification, frequently employs orthopantomograph images in dental biometry.Despite the introduction of various techniques for age and identity estimation,…
View article: Komşuluk Bileşen Analizi Tabanlı Makine Öğrenimi Yöntemleri ile Obezite Seviyelerinin Tahmini
Komşuluk Bileşen Analizi Tabanlı Makine Öğrenimi Yöntemleri ile Obezite Seviyelerinin Tahmini Open
Obezite, gelişmiş ülkelerde daha çok görülmekle birlikte gelişmekte olan ülkelerde de yaşam kalitelerini olumsuz yönde etkileyen bir hastalıktır. Obeziteyi tetikleyen birden çok etmen bulunmakla beraber bu etmenlerin en somut örneklerinden…
View article: Urine Dataset having eight particles classes
Urine Dataset having eight particles classes Open
Urine sediment examination (USE) is one of the main tests used in the evaluation of diseases such as kidney, urinary, metabolic, and diabetes and to determine the density and number of various cells in the urine. USE's manual microscopy is…
View article: Xgboost-Powered Pes Planus Diagnosis: Unearthing the Most Relevant X-Ray Image Features
Xgboost-Powered Pes Planus Diagnosis: Unearthing the Most Relevant X-Ray Image Features Open
View article: Age Detection by Deep Learning from Dental Panoramic Radiographs
Age Detection by Deep Learning from Dental Panoramic Radiographs Open
The use of deep learning approaches is growing day by day in the solution of various real-world problems in engineering science. Health sciences problems are also one of the areas in that deep learning is frequently applied. Especially in …
View article: Human Psychological Disorder towards Cryptography: True Random Number Generator from EEG of Schizophrenics and Its Application in Block Encryption’s Substitution Box
Human Psychological Disorder towards Cryptography: True Random Number Generator from EEG of Schizophrenics and Its Application in Block Encryption’s Substitution Box Open
Schizophrenia is a multifaceted chronic psychiatric disorder that affects the way a human thinks, feels, and behaves. Inevitably, natural randomness exists in the psychological perception of schizophrenic patients, which is our primary sou…
View article: Author Index
Author Index Open
View article: Incorporating Feature Selection Methods into Machine Learning-Based Covid-19 Diagnosis
Incorporating Feature Selection Methods into Machine Learning-Based Covid-19 Diagnosis Open
The aim of the study is to diagnose Covid-19 by machine learning algorithms using biochemical parameters. In addition to the aim of the study, October selection was performed using 14 different feature selection methods based on the bioche…
View article: Automated COVID-19 Detection from WBC-DIFF Scattergram Images with Hybrid CNN Model Using Feature Selection
Automated COVID-19 Detection from WBC-DIFF Scattergram Images with Hybrid CNN Model Using Feature Selection Open
In the medical diagnosis such as WBC (white blood cell), the scattergram images show the relationships between neutrophils, eosinophils, basophils, lymphocytes, and monocytes cells in the blood. For COVID-19 detection, the distributions of…
View article: Classification of 1D and 2D EEG Signals for Seizure Detection in the Newborn Using Convolutional Neural Networks
Classification of 1D and 2D EEG Signals for Seizure Detection in the Newborn Using Convolutional Neural Networks Open
Newborns do not always show clinical symptoms during seizures unlike adults. Therefore, uncontrolled seizures lead to serious brain damage. Timely detection of seizures plays a vital role for newborn babies. In this study, a deep transfer …
View article: Gram Stain Prediction with Machine Learning Techniques Using Biochemical Parameters in ICU Patients with Urinary Tract Infections
Gram Stain Prediction with Machine Learning Techniques Using Biochemical Parameters in ICU Patients with Urinary Tract Infections Open
Purpose: The aim of this study was to develop a useful algorithm based on complete blood count (CBC), urinalysis, and biochemical parameters that could be an alternative to gram staining in the prediction of UTI and the determination of in…
View article: Can laboratory parameters be an alternative to <scp>CT</scp> and <scp>RT‐PCR</scp> in the diagnosis of <scp>COVID</scp>‐19? A machine learning approach
Can laboratory parameters be an alternative to <span>CT</span> and <span>RT‐PCR</span> in the diagnosis of <span>COVID</span>‐19? A machine learning approach Open
In this study, a machine learning‐based decision support system that uses routine laboratory parameters has been proposed in order to increase the diagnostic success in COVID‐19. The main goal of the proposed method was to reduce the numbe…
View article: Determining and Measuring the Amount of Region Having COVID-19 on Lung Images
Determining and Measuring the Amount of Region Having COVID-19 on Lung Images Open
It is important to know how much the lungs are affected in the course of the disease in patients with COVID-19. Detecting infected tissues on CT lung images not only helps diagnose the disease but also helps measure the severity of the dis…
View article: Plantar Basınç Dağılımı Sinyalleri Kullanılarak Erken MSlilerde Ataksinin Hybrt CNN Modelleri ile Belirlenmesi
Plantar Basınç Dağılımı Sinyalleri Kullanılarak Erken MSlilerde Ataksinin Hybrt CNN Modelleri ile Belirlenmesi Open
Multiple sclerosis (MS) is a disease of the central nervous system that causes ataxia and deficits in balance.In ataxia, the first symptom is usually seen as gait disturbance. Gait ataxia can be clinically defined by increased double suppo…
View article: Is it possible to determine antibiotic resistance of <i>E. coli</i> by analyzing laboratory data with machine learning?
Is it possible to determine antibiotic resistance of <i>E. coli</i> by analyzing laboratory data with machine learning? Open
Objectives Microbial antibiotic resistance remains a serious public health problem worldwide. Conventional culture-based techniques are time-taking procedures; therefore, there is need for new approaches for detecting bacterial resistance.…