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Toplam kayıt 7, listelenen: 1-7
Attention-based end-to-end CNN framework for content-based X-ray image retrieval
(Tubitak Scientific & Technological Research Council Turkey, 2021)
The widespread use of medical imaging devices allows deep analysis of diseases. However, the task of examining medical images increases the burden of specialist doctors. Computer-assisted systems provide an effective ...
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
(Pergamon-Elsevier Science Ltd, 2021)
Distributed generation (DG) sources are preferred to meet today's energy needs effectively. The addition of many different types of renewable energy sources to the grid causes various problems in signal quality. Detection ...
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals
(Springer London Ltd, 2021)
The most effective way to communicate between the brain and electronic devices in the outside world is the brain-computer interface (BCI) systems. BCI systems use signals of being through neural activity in the brain to ...
Residual CNN plus Bi-LSTM model to analyze GPR B scan images
(Elsevier, 2021)
In this study, the residual Convolutional Neural Network (CNN) with the Bidirectional Long Short Time Memory (Bi-LSTM) model has proposed for the analysis of Ground Penetrating Radar B scan (GPR B Scan) images. GPR ...
Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval
(Elsevier Science Bv, 2021)
This study investigates the suitability of sparse vectors in the dictionary learning (DL) method for content-based image retrieval (CBIR) tasks. Since DL usually performs the learning process in an unsupervised manner, it ...
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets
(Pergamon-Elsevier Science Ltd, 2022)
The extraction of informative features from medical images and the retrieving of similar images from data repositories is vital for clinical decision support systems. Unlike general tasks such as medical image classification ...
Residual LSTM layered CNN for classification of gastrointestinal tract diseases
(Academic Press Inc Elsevier Science, 2021)
nowadays, considering the number of patients per specialist doctor, the size of the need for automatic medical image analysis methods can be understood. These systems, which are very advantageous compared to manual systems ...