Caner Ozcan

Caner Ozcan
Karabük University · Computer Engineering

PhD

About

47
Publications
23,358
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206
Citations

Publications

Publications (47)
Preprint
Coronary artery disease (CAD), one of the most common cause of mortality in the world. Coronary artery calcium (CAC) scoring using computed tomography (CT) is key for risk assessment to prevent coronary disease. Previous studies on risk assessment and calcification detection in CT scans primarily use approaches based on UNET architecture, frequentl...
Article
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Presented as a paper at ITTA conference in Baku, Azerbaijan on 23-25 April, 2024. Published as an article in the Scopus indexed journal Information Technologies and Their Applications.
Article
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Falls are a significant public health problem, especially among the elderly and people with limited mobility. A fall may seem like a minor accident, but the injuries that can result from a fall and the underlying health problems that can cause falls have a significant impact on people’s lives. Especially in elderly individuals, such accidents occur...
Conference Paper
Geographic information system (GIS) has become widespread with the management of geographically-based information, constituting a large part of the new data obtained and produced today in electronic platform. Three-dimensional (3D) models provide an overview of the more rapid establishment of new ideas that a two-dimensional (2D) visualization cann...
Article
The study evaluated the diagnostic performance of an artificial intelligence system to detect separated endodontic instruments on periapical radiograph radiographs. Three hundred seven periapical radiographs were collected and divided into 222 for training and 85 for testing to be fed to the Mask R‐CNN model. Periapical radiographs were assigned to...
Article
Classification of synthetic aperture radar (SAR) images is very important for analyzing these images. The developing remote sensing allows many high-dimensional SAR images to be recorded and interpreted. However, due to the growth in data sizes, the features increase, and analyzing becomes difficult. Therefore, deep learning algorithms capable of a...
Article
Land cover and land use information contributes to the research of important environmental issues such as the change of forest areas on the earth over the years, the determination of the increase and decrease in the amount of water, the detection of irregularities on the earth, the determination of damage after natural disasters. Synthetic Aperture...
Conference Paper
Full-text available
Land cover and land use information contributes to the research of important environmental issues such as the change of forest areas on the earth over the years, the determination of the increase and decrease in the amount of water, the detection of irregularities on the earth, the determination of damage after natural disasters. Synthetic Aperture...
Conference Paper
Full-text available
The Y-Balance Test (YBT) is a popular method used to evaluate the dynamic balance and functional mobility of athletes. However, it is crucial to perform the test correctly to obtain accurate results. For precise measurement of YBT data, a separate measurement should be conducted for each individual, and the test grid and equipment must be set up co...
Article
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User Interface (UI) is a basic concept in which individuals interact with any computer program or technological device to create a graphical design. In the initial stages of app development, UI prototype is a must. An automatic analysis system for the basic execution of UI designs will considerably speed up the development of designs according to o...
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Dental problems are one of the most common health problems for people. To detect and analyze these problems, dentists often use panoramic radiographs that show the entire mouth and have low radiation exposure and exposure time. Analyzing these radiographs is a lengthy and tedious process. Recent studies have ensured dental radiologists can perform...
Article
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Masif panel aynı kalitede lamellerin birleştirilmesiyle oluşturulmaktadır. Lamellerin kalitelerine göre ayrılma işlemi tamamen insan gücüne dayalıdır. Bu sebepten üretim bandında yaşanan sorunlar arasında zamandan kayıp, yanlış sınıflandırma, gibi problemler yer almaktadır. Sınıflandırma işleminin basit bir şekilde uygulanması için insan gücünün ye...
Conference Paper
Full-text available
Bireylerin herhangi bir bilgisayar programı veya teknolojik cihazla bir grafik tasarım oluşturmak için etkileşime girdiği temel kavram, kullanıcı arayüzü (UI) olarak tanımlanmaktadır. Günümüzde, uygulama geliştirmenin ilk aşamalarında UI çizimleri temel bir zorunluluk haline gelmiştir. Çalışmamızda, özellikle alışılagelmemiş bir sektör verisi olan...
Conference Paper
Full-text available
Doğal dil işlemede kullanılan duygu analizi yöntemi, e-ticaret, sosyal medya analizi, finans ve çeşitli alanları etkileyen kapsamlı bir araştırma konusu haline gelmiştir. Girdi olarak verilen metinlerin, ön eğitimli BERT modelleri tarafından tekrar eğitilmesi ile gerçekleştirilen duygu analizi çalışmalarında yüksek doğruluk elde edildiği görülmüştü...
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Full-text available
Brain computer interfaces are important for different application domain such as medical, natural interfaces and entertainment. Besides the difficulty of gathering data from the human brain via different channel probs, preprocessing of data is another different and important task that must be solved in order to get better achievement. Selection of...
Article
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Recently, it has become very popular to use electroencephalogram (EEG) signals in emotion recognition studies. But, EEG signals are much more complex than image and audio signals. There may be inconsistencies even in signals recorded from the same person. Therefore, EEG signals obtained from the human brain must be analyzed and processed accurately...
Article
Bitewing radiographic imaging is an excellent diagnostic tool for detecting caries and restorations that are difficult to view in the mouth, particularly at the molar surfaces. Labeling radiological images by an expert is a labor-intensive, time-consuming, and meticulous process. A deep learning-based approach has been applied in this study so that...
Article
Remote sensing and interpretation of hyperspectral images are becoming an increasingly important field of research. High dimensional hyperspectral images consist of hundreds of bands and reflect the properties of different materials. The need for more detail about objects and the improvement of sensor resolutions have resulted in the generation of...
Conference Paper
Full-text available
Kullanıcı arabirimi (UI), insanların bir makine, cihaz, bilgisayar programı ya da karmaşık aletlerle etkileşimini sağlayan yöntemlerin bileşkesine verilen addır. UI prototipleme, uygulama geliştirmenin ilk aşamalarında gerekli bir adımdır. Grafik kullanıcı arabiriminin (GUI) eskizlerini, kodlanmış bir UI uygulamasına dönüştürmek zaman alıcı bir gör...
Conference Paper
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Abstract—Deep neural networks have recently been used for detection and classification in medical imaging. Convolutional Neural Networks (CNN) is a neural network model that classifies images by processing various layers. Automatic detection of teeth in panoramic X-ray images is provided by computer-aided applications today. Panoramic radiology ima...
Preprint
Full-text available
Introduction-Purpose: Bitewing radiography is an ideal diagnostic method for the detection of caries under the cavities and restorations at the interfaces of molars or impacted teeth that cannot be directly seen. Labeling of radiological images by experts is a procedure that takes time and requires attention. It is aimed to solve with a deep learni...
Article
Full-text available
Panoramic dental images are used in all branches of dental health services for the analysis of the teeth in the jaw area, but require long working times and difficult to interpret. In this study, an AI (Artificial Intelligence) based DentiAssist training module was developed for reducing the workload of dentists in tooth labeling. Detection results...
Article
Full-text available
Classification of a synthetic aperture radar (SAR) image is an essential process for SAR image analysis and interpretation. Recent advances in imaging technologies have allowed data sizes to grow, and a large number of applications in many areas have been generated. However, analysis of high-resolution SAR images, such in classification, is a time-...
Conference Paper
Full-text available
Nowadays, the data revealed by the online individuals are increasing exponentially. The raw information that increasing data holds, transformed into meaningful outputs using macgine learning and deep learning methods. Generally, supervised learning methods are used for information extraction and classification. Supervised learning is based on the t...
Conference Paper
Full-text available
With today's developing technology, people's access to information and its production have reached a very fast level. These generated and obtained information are instantly created, entered into data systems and updated. Sources of streaming data can be transformed into valuable analysis results when they are handled with targeted methods. In this...
Article
Multidimensional field embedding methods have been demonstrated to effectively characterise spectral signatures in hyperspectral images. However, high-dimensional data composed of a number of classes presents challenges to the existing embedding methods. This Letter proposes an enhanced multidimensional field embedding algorithm based on the force...
Conference Paper
Full-text available
Greenhouses provide the environmental conditions to be controlled and regulated as desired while allowing agricultural products to be produced without being affected by external environmental conditions. High quality and a wide variety of agricultural products can be produced throughout the year. In addition, mapping and detection of these areas ha...
Conference Paper
Full-text available
With the accumulation of technology from the recent years of development, the total amount of data that has been revealed daily at the point reached today are quite excessive in the last forty years. It is of vital importance in our day to clean, understand, classify and make a usable analysis report of this emerging data. Speed is a key factor for...
Article
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The components forming the information society nowadays are seen in all areas of our lives. As computers have a great deal of importance in our lives, the amount of information has begun to gather meaningful and specific qualities. Not only the amount of information is increased, but also the speed of access to information has increased. Large data...
Conference Paper
Full-text available
The increase in the number of devices and users online with the transition of Internet of Things (IoT), increases the amount of large data exponentially. Classification of ascending data, deletion of irrelevant data, and meaning extraction have reached vital importance in today's standards. Analysis can be done in various variations such as Classif...
Article
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It is easier and faster for students to learn from knowledgeable students. The speed of information age and evolving educational technology have changed the way of teaching and the level of knowledge acquired during teaching.In this study, we present establishment of educational network among the undergraduate with mobile application. Students will...
Conference Paper
Full-text available
Speckle noise which is inherent to Synthetic Aperture Radar (SAR) imaging makes it difficult to detect targets and recognize spatial patterns on earth. Thus, despeckling is critical and used as a preprocessing step for smoothing homogeneous regions while preserving features such as edges and point scatterers. In this study, a low-memory version of...
Conference Paper
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Segmentation is widely used for determining tumor and other lesions and classifying tissues for various analysis purposes in medical images. However, being an ill-posed problem, there is no single segmentation method which can perform successfully for all kind of data. In this study, a novel total variation (TV) based skull segmentation method is p...
Conference Paper
Full-text available
SAR remote sensing systems provide high-resolution images of the earth's surface as seen from airborne or satellite platforms. SAR imaging has a growing interest in remote sensing applications in many fields with the ability to generate high-resolution radar image regardless of weather conditions and sunlight illumination. However, due to coherent...
Article
Full-text available
Speckle noise inherent in synthetic aperture radar (SAR) images seriously affects the result of various SAR image processing tasks such as edge detection and segmentation. Thus, speckle reduction is critical and is used as a preprocessing step for smoothing homogeneous regions while preserving features such as edges and point scatterers. Although s...
Conference Paper
Full-text available
Speckle noise which is inherent to Synthetic Aperture Radar (SAR) imaging obstructs various image exploitation tasks such as edge detection, segmentation, change detection, and target recognition. Speckle reduction is generally used as a first step which has to smooth out homogeneous regions while preserving edges and point scatterers. In remote se...
Conference Paper
Full-text available
Speckle noise which is inherent to Synthetic Aperture Radar (SAR) imaging obstructs various image exploitation tasks such as edge detection, segmentation, change detection, and target recognition. Therefore, speckle reduction is generally used as a first step which has to smooth out homogeneous regions while preserving edges and point scatterers. T...
Conference Paper
Full-text available
Synthetic Aperture Radar (SAR) images contain high amount of speckle noise which causes edge detection, shape analysis, classification, segmentation, change detection and target recognition tasks become more difficult. To overcome such difficulties, smoothing of homogenous regions while preserving point scatterers and edges during speckle reduction...
Article
Full-text available
In this study, surfaces of solid objects are coloured with Cropped Quad-Tree method utilizing GPU computing optimization. There are numerous methods used in solid object colouring. When the studies carried out in different fields are taken into consideration, it is seen that quad-tree method displays a prominent position in terms of speed and perfo...
Conference Paper
Full-text available
In recent years, parallel processing has been widely used in the computer industry. Software developers, have to deal with parallel computing platforms and technologies to provide novel and rich experiences. We present a novel algorithm to solve dense linear systems using Compute Unified Device Architecture (CUDA). High-level linear algebra operati...
Conference Paper
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zet: Açık kaynak kodlu işletim sistemi, öğrenim yönetim sistemi ve sanal sınıf uygulaması ile gerçekleştirilen makul sayıda öğrencinin olduğu bir uzaktan eğitim altyapısında: hizmet kalitesini arttırmanın ve hizmet verilen öğrenci sayısını arttırarak bunu gerçekleştirmenin yolları irdelenmiştir. Çalışma özellikle sanal sınıf uygulamalarında perform...

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