Yazar "Altan, Gökhan" için listeleme
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Adaptif yöntemlerle iyileştirilmiş göğüs röntgenlerinden derin öğrenme ile COVID-19 tespiti
Narlı, Süleyman Serhan (İskenderun Teknik Üniversitesi / Lisansüstü Eğitim Enstitüsü / Bilgisayar Mühendisliği Ana Bilim Dalı, 2021)Derin Öğrenme (DL), günümüzde en popüler Makine Öğrenme (ML) algoritmasıdır, Medikal Görüntü işleme alanında sınıflandırmadaki yüksek performansı sayesinde gün geçtikçe kullanımı yaygınlaşmaktadır. Derin Öğrenme bir sinir ... -
Breast cancer diagnosis using deep belief networks on ROI images
Altan, Gökhan (Pamukkale Üniversitesi, 2022)Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ... -
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
Altan, Gökhan; Kutlu, Yakup; Gökçen, Ahmet (Türkiye Klinikleri, 2020)Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ... -
CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
Altan, Gökhan; Narlı, Süleyman Serhan (Gazi Akademi Yayıncılık, 2022)Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
Altan, Gökhan (Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
Deep Learning for COPD Analysis Using Lung Sounds
Altan, Gökhan; Kutlu, Yakup; Allahverdi, Novruz (Baku State University, 2018)In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
Altan, Gökhan; Kutlu, Yakup; Allahverdi, Novruz (Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Deep learning with 3D-second order difference plot on respiratory sounds
Altan, Gökhan; Kutlu, Yakup; Pekmezci, Adnan Özhan; Nural, Serkan (Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ... -
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
Altan, Gökhan; Yayık, Apdullah; Kutlu, Yakup (Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
Deep Learning-based Mammogram Classification for Breast Cancer
Altan, Gökhan (International Journal of Intelligent Systems and Applications in Engineering, 2020)Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers. Robustness of the DL algorithms ... -
DeepGraphNet: Grafiklerin Sınıflandırılmasında Derin Öğrenme Modelleri
Altan, Gökhan (Avrupa Bilim ve Teknoloji Dergisi, 2019)Grafik sınıflandırma modeli henüz yeni bir araştırma alanı olarak ön plana çıkan bir görüntü işleme yaklaşımıdır. Özellikle verilerin görselleştirilmesi ve kolay okunabilirliğini sağlamak için tercih edilen grafikler, ... -
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
Altan, Gökhan (Elsevier, 2022)Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ... -
ECG based human identification using Second Order Difference Plots
Altan, Gökhan; Kutlu, Yakup; Yeniad, Mustafa (Elsevier, 2019)Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ... -
A fully distributed energy-aware multi-level clustering and routing for WSN-based IoT
Turgut, İpek Abasıkeleş; Altan, Gökhan (Wiley, 2021)One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the ... -
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
Altan, Gökhan; Kutlu, Yakup (Institute of Electrical and Electronics Engineers Inc., 2017)Solunum seslerinin oskültasyonu, pulmoner bozukluklar ve bazı kardiyak bozuklukların teşhisi için göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ... -
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
Altan, Gökhan; Allahverdi, Novruz; Kutlu, Yakup (Institute of Electrical and Electronics Engineers, 2018)Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ... -
A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform
Altan, Gökhan; Kutlu, Yakup; Allahverdi, Novruz (Elsevier Ireland Ltd., 2016)Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most ... -
A novel fractional operator application for neural networks using proportional Caputo derivative
Altan, Gökhan; Alkan, Sertan; Baleanu, Dumitru (Springer, 2022)In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ... -
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
Altan, Gökhan (Wiley, 2021)Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ...
