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The accurate classification of Alzheimer's disease (AD) from MRI data holds great significance for facilitating early diagnosis and personalized treatment, ultimately leading to improved patient outcomes. To address this challenge, a comprehensive approach is proposed in this study, which integrates advanced deep learning models.

To overcome the complexity and variability of the heart, along with factors like fuzzy boundaries and low contrast and produce automated segmentation based on machine learning.