Browsing by Author "Bozkurt, Ferhat"

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Improving brain tumor classification with combined convolutional neural networks and transfer learning

İncir, Ramazan; Bozkurt, Ferhat (Elsevier B.V., 5 Septembe)

Brain tumors pose a serious threat, causing the deaths of thousands of people worldwide, and can lead to life-threatening consequences when not accurately diagnosed. The classification of brain tumors and the determination ...
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches

İncir, Ramazan; Bozkurt, Ferhat (Springer, 2023)

High glucose levels in the blood not only damage different tissues and organs of the body, but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR). DR can cause blurred vision, darkening ...
A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches

İncir, Ramazan; Yağanoğlu, Mete; Bozkurt, Ferhat (Gumushane University, 2024)

In today's technology, information spreads quickly through online social networks, making our lives easier. However, when false news is shared without critical evaluation, it can harm society and affect social, political ...
A Study on the Segmentation and Classification of Diabetic Retinopathy Images Using the K-Means Clustering Method

İncir, Ramazan; Bozkurt, Ferhat (Institute of Electrical and Electronics Engineers Inc., 15 May 202)

Diabetic Retinopathy (DR) is a retinal disease caused by diabetes, representing one of the most prevalent causes of vision loss affecting millions of people worldwide. Swift detection and treatment of this condition are ...

Browsing by Author "Bozkurt, Ferhat"

Improving brain tumor classification with combined convolutional neural networks and transfer learning ﻿

A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches ﻿

A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches ﻿

A Study on the Segmentation and Classification of Diabetic Retinopathy Images Using the K-Means Clustering Method ﻿

Improving brain tumor classification with combined convolutional neural networks and transfer learning

A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches

A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches

A Study on the Segmentation and Classification of Diabetic Retinopathy Images Using the K-Means Clustering Method