Konu "classification" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 9, listelenen: 1-9
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Assessment of CSP-based two-stage channel selection approach and local transformation-based feature extraction for classification of motor imagery/movement EEG data
(De Gruyter, 2019)The main idea of brain-computer interfaces (BCIs) is to facilitate the lives of patients having difficulties to move their muscles due to a disorder of their motor nervous systems but healthy cognitive functions. BCIs are ... -
BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features
(Wiley, 2023)Breast cancer has become the most prominent type of cancer in the world. Early detection of breast cancer plays an important role in optimal treatment planning to decrease mortality. Breast ultrasound is widely used in ... -
Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features
(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 ... -
A comparative study for glioma classification using deep convolutional neural networks
(Amer Inst Mathematical Sciences-Aims, 2021)Gliomas are a type of central nervous system (CNS) tumor that accounts for the most of malignant brain tumors. The World Health Organization (WHO) divides gliomas into four grades based on the degree of malignancy. Gliomas ... -
Convolution kernel size effect on convolutional neural network in histopathological image processing applications
(Institute of Electrical and Electronics Engineers Inc., 2018)In this study, the change in the classification success of the convolutional neural network (CNN) is investigated when the dimensions of the convolution window are altered. For this purpose, four different linear convolution ... -
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
(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 ... -
An Evaluation of the Channel Effect on Detecting the Preictal Stage in Patients With Epilepsy
(SAGE Publications Inc., 2021)Decreasing the processor load to an acceptable level challenges researchers as an important threshold in the study of real-time detection and the prediction of epileptic seizures. The main methods in overcoming this problem ... -
Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
(Frontiers Media Sa, 2022)IntroductionCoronavirus Disease 2019 (COVID-19) disease first appeared in Wuhan, China in December 2019. Subsequently, the pandemic spread rapidly throughout the entire world. The number of people who died from COVID-19 ... -
Weighting and classification of image features using optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2018)In this study, importance ratios of features extracted from images using feature extraction algorithms are examined. A significance coefficient is determined for each feature parameter. The number of features is reduced ...