Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Huseyin Yasar"'
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A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks
Autor: Murat Ceylan, Huseyin Yasar
Publikováno v: Applied Intelligence
At the end of 2019, a new type of virus, belonging to the coronaviridae family has emerged and it is considered that the virus in question is of zootonic origin. The virus that emerged in China first affected this country and then spread worldwide. P
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df9155d02c6262b440bdf9ad14ae2cf7
http://europepmc.org/articles/PMC7609830
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3
A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification
Autor: Anıl Akyel, Uğurhan Kutbay, Huseyin Yasar, Fırat Hardalaç
Publikováno v: Multimedia Tools and Applications. 79:22929-22963
Palm print scanning is a widespread method for biometric identity detection which has some advantages over other methods including its simplicity and relatively lower cost. In this study, a novel methods for biometric verification and identification
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47f19bb977cc5b56b65062cd10f2f1c
https://doi.org/10.1007/s11042-020-09005-2
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4
Can treatment with teicoplanin improve the prognosis of COVID-19 patients?
Autor: Aysun Ertaş, Soner Sahin, Mucahit Yemisen, Kaan Meric, Huseyin Yasar, Zehra Yasar
Publikováno v: International Journal of Clinical Practice
Aim In patients with COVID‐19, no validated efficient treatment has been reported. Herein, we examine the effect of treatment with teicoplanin in hospitalised patients with COVID‐19. Methods This retrospective study included 115 hospitalised pati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea00c582daeb4f84f65be61addda70c1
https://pubmed.ncbi.nlm.nih.gov/34431178
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5
A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods
Autor: Murat Ceylan, Huseyin Yasar
Publikováno v: Multimedia Tools and Applications
The Covid-19 virus outbreak that emerged in China at the end of 2019 caused a huge and devastating effect worldwide. In patients with severe symptoms of the disease, pneumonia develops due to Covid-19 virus. This causes intense involvement and damage
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8e0d73f863ecb3cc15176cb05a784bb
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6
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images
Autor: Murat Ceylan, Huseyin Yasar
Publikováno v: Cognitive Computation
Patients infected with the COVID-19 virus develop severe pneumonia, which generally leads to death. Radiological evidence has demonstrated that the disease causes interstitial involvement in the lungs and lung opacities, as well as bilateral ground-g
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76a502d1cd709888ff686b90cc74da2
https://pubmed.ncbi.nlm.nih.gov/34306240
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8
RENKLİ TAŞIYICI VE RENKLİ GİZLİ GÖRÜNTÜLERİN GÖRÜNTÜ ÖZELLİK TABANLI İKİ KATMANLI ŞİFRELEME VE EN ÖNEMSİZ BİT YÖNTEMİ KULLANILARAK FİLİGRANLANMASI
Autor: Murat Ceylan, Gamze Hikmet Özteriş, Huseyin Yasar
Publikováno v: Volume: 1, Issue: 2 6-14
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
Bu çalışmada 24 bit RGB formatında 128 × 128 boyutlarında gizli ve 24 bit RGB formatında 512 × 512 boyutlarında taşıyıcı görüntüler kullanılarak bir filigranlama uygulaması gerçekleştirilmiştir. Çalışmada kullanılan gizli gö
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3336e70e75b721af8db1ad1f05200e93
https://doi.org/10.18640/ubgmd.80754
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9
A new combined system using ANN and complex wavelet transform for tissue density classification in mammography images
Autor: Fırat Hardalaç, Uğurhan Kutbay, Huseyin Yasar
Publikováno v: 2018 4th International Conference on Computer and Technology Applications (ICCTA).
Breast cancer is the most common type of cancer that occurs in one of every eight women in the world and is the most common in women. Early diagnosis of the disease is of great importance in order to reduce tissue loss and disease-related deaths. For
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a6cfc5ef0ed06fc29d7c0a05d3357c
https://doi.org/10.1109/cata.2018.8398679
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A Novel Approach for Estimation of Coronary Artery Calcium Score Class Using ANN and Body Mass Index, Age and Gender Data
Autor: Huseyin Yasar, Fırat Hardalaç, Selami Serhatlioglu, Uğurhan Kutbay
Cardiovascular diseases group is the one that causes most death in the world. There is a strong association between coronary artery disease and coronary artery calcium score. Therefore; coronary artery calcium score and class are important for the de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe8b8b4bfc1df4fc550efd353342563
https://avesis.gazi.edu.tr/publication/details/32cb6c38-89fa-4e63-99d7-40a95051a2c0/oai
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