Browsing by Department "ALKÜ, Fakülteler, Rafet Kayış Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü"
Now showing items 1-4 of 4
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COVID-19 disease severity assessment using CNN model
(2021)Due to the highly infectious nature of the novel coronavirus (COVID-19) disease, excessive number of patients waits in the line for chest X-ray examination, which overloads the clinicians and radiologists and negatively ... -
COVID‑19 disease diagnosis from paper‑based ECG trace image data using a novel convolutional neural network model
(2022)Clinical reports show that COVID-19 disease has impacts on the cardiovascular system in addition to the respiratory system. Available COVID-19 diagnostic methods have been shown to have limitations. In addition to current ... -
Multi-classification of brain tumor MRI images using deep convolutional neural network with fully optimized framework
(2021)Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy specimens today. The current method is invasive, time-consuming and prone to manual errors. These disadvantages show how essential ... -
A novel implementation of deep-learning approach on malaria parasite detection from thin blood cell images
(2021)Malaria is known as an acute febrile disease caused by the bite of female Anopheles mosquitoes, and it manifests itself with symptoms such as headache, fever, chills, vomiting, and fatigue. The diagnosis of malaria is still ...