Search Results - "Irmak, Emrah"

Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework by Irmak, Emrah

“…Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy specimens today. The current method is invasive, time-consuming and…”
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COVID‐19 disease severity assessment using CNN model by Irmak, Emrah

“…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,…”
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A Novel Implementation of Deep-Learning Approach on Malaria Parasite Detection from Thin Blood Cell Images by Irmak, Emrah

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Implementation of convolutional neural network approach for COVID-19 disease detection by Irmak, Emrah

“…In this paper, two novel, powerful, and robust convolutional neural network (CNN) architectures are designed and proposed for two different classification…”
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COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model by Irmak, Emrah

“…Clinical reports show that COVID-19 disease has impacts on the cardiovascular system in addition to the respiratory system. Available COVID-19 diagnostic…”
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A Novel Deep Convolutional Neural Network Model for COVID-19 Disease Detection by Irmak, Emrah

“…The novel coronavirus, generally known as COVID19, is a new type of coronavirus which first appeared in Wuhan Province of China in December 2019. The biggest…”
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Brain tumor detection using monomodal intensity based medical image registration and MATLAB by IRMAK, Emrah, ERÇELEBİ, Ergun, ERTAŞ, Ahmet H.

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Investigation of Tribocorrosion Properties of Titanium Implant used in Orthopedics by Irmak, Emrah, Ugurlu, Bilal, Incesu, Alper

“…A titanium implant is a mechanical system that undergoes tribocorrosion at the interface between the implant and the abutment alloy, where material degradation…”
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A review of robust image enhancement algorithms and their applications by Irmak, Emrah, Ertas, Ahmet H.

“…The essential target of image enhancement is to minimize noise from a digital image by keeping the intrinsic information of the image preserved. The main…”
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