6 citations · 11 across the 4 of their papers we have counts for
5 papers · 1 filter
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images
Kenan Morani
This paper extends our previous method for COVID-19 diagnosis, proposing an enhanced solution for detecting COVID-19 from computed tomography (CT) images. To decrease model misclas…
COVID-19 detection using ViT transformer-based approach from Computed Tomography Images
Kenan Morani
In here, we introduce a novel approach to enhance the accuracy and efficiency of COVID-19 diagnosis using CT images. Leveraging state-of-the-art Transformer models in computer visi…
COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline
Kenan Morani
The main purpose of this study is to develop a pipeline for COVID-19 detection from a big and challenging database of Computed Tomography (CT) images. The proposed pipeline include…
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images
Kenan Morani, Esra Kaya Ayana, Devrim Unay
The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to t…
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
Kenan Morani, Devrim Unay
A method of a Convolutional Neural Networks (CNN) for image classification with image preprocessing and hyperparameters tuning was proposed. The method aims at increasing the predi…