Cycle GAN-Based MRI Augmentation and Hybrid Deep Learning Approach (GDP) for Binary Classification of Alzheimer's Disease: Differentiating Normal and Very Mild Dementia

doi:10.22266/ijies2024.1231.93

Cycle GAN-Based MRI Augmentation and Hybrid Deep Learning Approach (GDP) for Binary Classification of Alzheimer's Disease: Differentiating Normal and Very Mild Dementia

https://doi.org/10.22266/ijies2024.1231.93

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Journal: International Journal of Intelligent Engineering and Systems

Publication Date: Dec 31, 2024

#Hybrid Deep Learning Approach #Approach For Binary Classification #Mild Dementia #Alzheimer's Disease #Augmentation Approach #Classification Of Disease #Approach For Classification #Hybrid Deep Learning #Hybrid Deep #Deep Learning Approach

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Cycle GAN-Based MRI Augmentation and Hybrid Deep Learning Approach (GDP) for Binary Classification of Alzheimer's Disease: Differentiating Normal and Very Mild Dementia

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Cycle GAN-Based MRI Augmentation and Hybrid Deep Learning Approach (GDP) for Binary Classification of Alzheimer's Disease: Differentiating Normal and Very Mild Dementia