Yazar "Öztürk Ş." için listeleme
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Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
Öztürk Ş.; Akdemir B. (Elsevier B.V., 2018)Classification of histopathologic images and identification of cancerous areas is quite challenging due to image background complexity and resolution. The difference between normal tissue and cancerous tissue is very small ... -
Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks
Öztürk Ş.; Akdemir B. (John Wiley and Sons Inc., 2019)Histopathological whole-slide image (WSI) analysis is still one of the most important ways to identify regions of cancer risk. For cancer in which early diagnosis is vital, pathologists are at the center of the decision-making ... -
Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features
Öztürk Ş.; Özkaya U.; Barstuğan M. (John Wiley and Sons Inc, 2021)Necessary screenings must be performed to control the spread of the COVID-19 in daily life and to make a preliminary diagnosis of suspicious cases. The long duration of pathological laboratory tests and the suspicious test ... -
Comparison of Current Convolutional Neural Network Architectures for Classification of Damaged and Undamaged Cars
Ünal Y.; Öztürk Ş.; Dudak M.N.; Ekici M. (Springer Science and Business Media Deutschland GmbH, 2022)Deep learning algorithms, one of the most popular topics of recent years, are frequently encountered in many areas. One of these areas is traffic. Many applications such as vehicle identification and damage detection using ... -
Convolutional neural networks for medical image processing applications
Öztürk Ş. (CRC Press, 2022)The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology ... -
Coronavirus (Covid-19) classification using CT images by machine learning methods
Barstuğan M.; Özkaya U.; Öztürk Ş. (CEUR-WS, 2021)This study detected the Coronavirus (COVID-19) disease by implementing artificial learning methods. Coronavirus disease occurs in the lungs and can cause death. The detection process was performed on chest Computed Tomography ... -
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
Öztürk Ş.; Akdemir B. (Elsevier B.V., 2018)In this study, classification performance of histopathological images which are processed by pre-processing algorithms using convolutional neural network structure is examined. The images are divided into four different ... -
Gaussian Regression Models for Day-Level Forecasting of COVID-19 in European Countries
Coronavirus (COVID-19) outbreak has reached a global disease and has begun to threaten all over the world. No vaccine or drug has been developed to treat the outbreak, still. According to the data of the World Health ... -
A novel polyp segmentation approach using U-net with saliency-like feature fusion
Polyps that pose a serious threat to human life, some of which are not detectable during a colonoscopy. This situation not only reduces the quality of life but also significantly raises healthcare costs. Polyp detection ...
