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- W4220709160 abstract "Nowadays deep intelligence technology platforms have strongly gained significant presentation accomplishments in different categories including medical and pattern examination. By 2050, the world with nearly 115 million human beings is going to be affected from Alzheimer disease. The phrase “Prevention is better than Cure” apt for the Alzheimer's disease. Early detection of AD is the only way for the preventative measures to be taken before it gets worse. The MRI data have been used for AD detection. Various statistical analysis and ML models have been utilized by researchers for AD diagnosis. Currently there is no cure and early detection can reduce the severity levels which has become a most challenging in the medical field and researches. The aim of this research is to provide an overview of techniques applied for early recognition of AD by using human brain MRI (Magnetic resonance imaging) data." @default.
- W4220709160 created "2022-04-03" @default.
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- W4220709160 date "2022-01-25" @default.
- W4220709160 modified "2023-10-18" @default.
- W4220709160 title "Machine Learning Techniques for analysis of AD Detection using brain MRI" @default.
- W4220709160 doi "https://doi.org/10.1109/iccci54379.2022.9740739" @default.
- W4220709160 hasPublicationYear "2022" @default.
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