Classification of the level of alzheimer’s disease using anatomical magnetic resonance images based on a novel deep learning structure

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dc.contributor.authorAl-Jumaili, Saif
dc.contributor.authorAl-Azzawi, Athar
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorDuru, Adil Deniz
dc.date.accessioned2023-06-09T06:01:53Z
dc.date.available2023-06-09T06:01:53Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractAlzheimer’s is an incurable neurodegenerative disease that generally begins slowly and progresses gradually with time. In the early stage, symptoms of memory loss are mild, while in the late stage it clearly shows the deterioration in cognitive functions. Due to its irreversible nature, early detection reflects positively on reducing restraining the spread and preventing damage to the brain cells thus avoiding reaching the dementia stage. Till now, deep learning is considered to be one of the most significant methodologies used to detect and classify different types of neurological diseases from MRI images. However, in this study, we proposed a novel two-dimensional deep convolutional neural network to classify four stages of Alzheimer’s disease. The dataset consists of four types, namely nondemented, very mild demented, mild demented, and moderate demented subject MR images. First, we have applied a preprocessing technique to resize the image for compliance with our models. Then, we performed Reduce Atmospheric Haze techniques that can decrease the atmospheric haze making all images sharp and clear to feed to the model. We implemented the model 30 times and obtained more than 99.46% for evaluation metrics. The proposed method shows an outstanding performance compared to other papers reported in the literature.en_US
dc.identifier.citationAl-Jumaili, S., Al-Azzawi, A., Uçan, O. N., & Duru, A. D. (2023). Classification of the level of alzheimer’s disease using anatomical magnetic resonance images based on a novel deep learning structure. In Diagnosis of Neurological Disorders Based on Deep Learning Techniques (pp. 29-46). CRC Press.en_US
dc.identifier.endpage46en_US
dc.identifier.isbn9781000872170
dc.identifier.isbn9781032325248
dc.identifier.scopus2-s2.0-85159497695
dc.identifier.scopusqualityN/A
dc.identifier.startpage29en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3516
dc.indekslendigikaynakScopus
dc.institutionauthorAl-Jumaili, Saif
dc.institutionauthorAl-Azzawi, Athar
dc.institutionauthorUçan, Osman Nuri
dc.language.isoen
dc.publisherCRC Pressen_US
dc.relation.ispartofDiagnosis of Neurological Disorders Based on Deep Learning Techniques
dc.relation.isversionof10.1201/9781003315452-3en_US
dc.relation.publicationcategoryKitap Bölümü - Ulusalen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlzheimeren_US
dc.subjectNeurodegenerative diseaseen_US
dc.subjectMemory lossen_US
dc.subjectDeep convolutional neural networken_US
dc.subjectMR imagesen_US
dc.subjectReduce Atmospheric Haze techniqueen_US
dc.titleClassification of the level of alzheimer’s disease using anatomical magnetic resonance images based on a novel deep learning structure
dc.typeBook Part

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