Search Results for author: Ali Narin

Found 5 papers, 1 papers with code

Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review

no code implementations10 Dec 2020 Walid Hariri, Ali Narin

Finally, the classification is performed using the obtained features to decide whether the patient is infected by coronavirus or it is another lung disease.

Pneumonia Detection

Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images

no code implementations10 Dec 2020 Ali Narin

Covid-19 is a very serious deadly disease that has been announced as a pandemic by the world health organization (WHO).

Effect of Different Batch Size Parameters on Predicting of COVID19 Cases

no code implementations10 Dec 2020 Ali Narin, Ziynet Pamuk

However, it was observed that the steady state in the test data was delayed as the batch size value increased.

Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network

no code implementations10 Dec 2020 Ali Narin

In this study, two different balanced and unbalanced study groups have been formed by using the histopathological data in the BreakHis data set.

Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks

2 code implementations24 Mar 2020 Ali Narin, Ceren Kaya, Ziynet Pamuk

The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries, and is approaching approximately 34, 986, 502 cases worldwide according to the statistics of European Centre for Disease Prevention and Control.

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