Classification of Alzheimer’s disease using convolutional neural network based on brain MRI image

Classification of Alzheimer’s disease using convolutional neural network based on brain MRI image

• By Wildah, Siti Khotimatul; Agustiani, Sarifah; Mustopa, Ali; Sulaiman, Hamdun; Rahmawati, Ami;
• Seminar Internasional Bereputasi
• 138
• 1-8

Memory disorders are often experienced by someone who has entered old age caused because nerve cells (neurons) in the part of the brain involved in cognitive function have been damaged and are no longer functioning properly. It is commonly called dementia or Alzheimer’s. Symptoms arising from Alzheimer’s disease such as memory impairment, personality changes, mood and behavior, and problems in daily interactions and activities due to confusion in digesting questions and messy memories. But until now there is no cure for the disease, therefore early detection is needed in order to prepare adequate treatment. The study aims to propose a method that can classify the development of Alzheimer’s disease by testing 6,400 brain MRI data. The method proposed in this study uses deep learning method with CNN algorithm and accuracy value obtained by 98.22%.

• Katakunci
• URL https://pubs.aip.org/aip/acp/article-abstract/2714/1/020035/2889735/Classification-of-Alzheimer-s-disease-using?redirectedFrom=fulltext
• Penerbit ,

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