Abstract
Abstract: Alzheimer's disease is a fatal degenerative brain condition. It is a neurological condition that primarily impacts seniors. The disease of Alzheimer's is the main factor in mental illness. Early detection and the right kind of therapy can greatly aid in controlling the complaint because this is a progressing sickness. This design suggests a model that analyses brain MRI sample images to determine whether or not a person has Alzheimer's disease. For this type, we employ the VGG19 and DenseNet169 architectures, providing a comparative study of which frame exhibits promising outcomes.
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