Caner OzcanKarabuk University · Computer Engineering
Caner Ozcan
PhD
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28
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Publications (28)
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...
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...
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...
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...
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...
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...
![Figure 2. Architecture of Mask R-CNN [21]](profile/Buse-Tekin-2/publication/353306237/figure/fig2/AS:1046433729871874@1626500651993/Architecture-of-Mask-R-CNN-21_Q320.jpg)
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...
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-...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Projects
Projects (4)
DentiAssist is a decision support system software that provides automatic analysis of dental radiographs with artificial intelligence.
The project output is a device, brand and model independent artificial intelligence supported analysis software designed to solve these problems in dentistry. By reducing the workload of dentists, it will be ensured that they work more efficiently and that the current oral conditions of the patients can be easily reported and recorded, and the change in oral health over time will be examined. An interface software will be created in which panoramic images in the archive can be analyzed, and automatic analysis of new images added with an artificial intelligence model will be provided. Artificial intelligence module, low cost, data security, infrastructure suitable for different solutions and ability to work on multiple platforms (computer, tablet, smart phone, etc.) will constitute the unique and innovative aspects of our product. A detection system with patient-based temporal change analysis feature will be established. Thanks to these features, dentists will be able to manage the diagnosis and treatment process more efficiently.
Create an environment to analyze massive amount of text datasets with high accuracy and speed. Classify texts using supervised machine learning methods. Achieve nearly real time analysis speed using new approaches.
