saucis

Sakarya University Journal of Computer and Information Sciences

2636-8129

Sakarya University

10.35377/saucis...1493368

Software Testing, Verification and Validation Software Engineering (Other)

Yazılım Testi, Doğrulama ve Validasyon Yazılım Mühendisliği (Diğer)

Ensemble-Based Alzheimer's Disease Classification Using Features Extracted from Hog Descriptor and Pre-trained Models

https://orcid.org/0000-0003-1591-2806

Muzoglu

Nedim

Sağlık Bilimleri Üniversitesi, Hamidiye Sağlık Bilimleri Enstitüsü, Biyomühendislik Anabilim Dalı

https://orcid.org/0000-0002-6753-7887

Akbacak

Enver

FENERBAHÇE ÜNİVERSİTESİ

12 31 2024

7 3 416 426 05 31 2024 09 30 2024

2018

Sakarya University Journal of Computer and Information Sciences

Alzheimer's Disease is the most common type of dementia and is a progressive, neurodegenerative disease. The disease worsens over time, and the patient becomes bedridden, unable to move or understand what is happening around him. The main concern of medicine is to slow down the progression of the disease for which no treatment has yet been developed. Artificial intelligence studies have achieved significant success in detecting many diseases. In this study, an artificial intelligence-based approach that uses MR images of the early stage of Alzheimer's Disease to detect the disease at an early stage is presented. Initially, a new dataset was created through the application of the fuzzy technique, thereby expanding the feature space. Then, an ensemble learning-based hybrid deep learning model was developed to reduce the misclassification rate for all classes. The features derived from the inception module, residual modules, and histogram of oriented gradients descriptor are subjected to classification through bagging and boosting algorithms. The proposed model has surpassed many state-of-the-art studies by achieving a high success rate of 99.60% in detecting Alzheimer's disease in its early stages.

Alzheimer disease Hog features Imbalance dataset Bagging and boosting Fuzzy image enhancement

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