Staging of Alzheimer's disease based on MRI using CNN
Abstract: Early detection of chronic diseases and determining the stages of damage to the patient is considered one of the most important stages of treatment, as it helps doctors take important remedial measures that help the patient recover or reduce the risk of the disease to a minimum. Alzheimer's disease is one of the neurological diseases that lead to brain atrophy, which leads to the loss of its functions. MRI images of the brain are used to detect Alzheimer's disease, but it is difficult to determine both the stages of the disease and the amount of damage in a patient using this MRI technique. In this research, we aim to detect Alzheimer's disease in addition to determining its stage based on deep learning techniques by using a classifier that uses the convolutional neural network (CNN). In the research, magnetic resonance images of the brain were used, and the hippocampus region was extracted in assessing the amount of damage because it is the most important region in diagnosing dama.... https://www.bibliothek.tu-chemnitz.de/ojs/index.php/cs/article/view/593
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Staging of Alzheimer's disease based on MRI using CNN ; volume:10 ; number:5 ; day:08 ; month:06 ; year:2023
Embedded selforganising systems ; 10, Heft 5 (08.06.2023)
- Urheber
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Baddour, Douaa
Ali, Majd
- DOI
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10.14464/ess.v10i5.593
- URN
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urn:nbn:de:101:1-2023092019462209201360
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:00 MESZ
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Baddour, Douaa
- Ali, Majd
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