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Author

F. Latifoğlu

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3 papers indexed here

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Open access Oct 2026

Analysis of major depressive disorder with EEG signals using adaptive signal processing and machine learning techniques

Background and Objective: Major Depressive Disorder (MDD) is a significant mental health issue that negatively affects individuals' quality of life. In this study, an adaptive signal processing and machine learning-based approach was developed for the intelligent diagnosis of MDD through electroencephalogram (EEG) sign...

F. Latifoğlu, Sabrına Turturova, Fırat Orhanbulucu · 0 citations
Review Open access Oct 2026

Histopathological Imaging and Artificial Intelligence for Cancer Diagnosis and Gleason Grading: A Brief Review of Prostate Cancer

Objective: Prostate cancer, one of the most common cancers affecting men’s health worldwide, ranks second among cancer-related deaths. Therefore, it represents a critical health issue, and early diagnosis is crucial. Several imaging and analytical methods are used to diagnose this condition. Materials and Methods: Thi...

F. Latifoğlu, Arzu Hanım Yay, Fırat Orhan Bulucu · 0 citations
Aug 2026

A Hybrid Signal Processing and Deep Learning Framework for Parkinson's Disease Classification and Determination of ON and OFF Medication Condition.

INTRODUCTION/OBJECTIVE Parkinson's disease (PD) is a neurodegenerative disease that can cause motor or non-motor symptoms as a result of damage to nerve cells in the brain. Recently, studies on the diagnosis and prediction of this type of disease continue with the application of machine learning (ML) and deep learning...

F. Latifoğlu, Fırat Orhanbulucu, Sultan Penekli et al. · 0 citations

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