A Novel Deep-Learning Based Classification Of Alzheimer's Disease In Adults

Alzheimer's Disease (AD) is a neurodegenerative disease that is the cause of impairment of cognitive abilities and deterioration of memory. AD is most often observed in people beyond the age of 65. Diseases like AD are best treated by starting the treatment early. Delaying the treatment due to minor uncertainty can accelerate the deterioration. Using AI, medical professionals can confirm the presence or absence of the condition and immediately start the treatment. In this paper, Sequential Deep Convolutional Neural Network was used to perform a 5-way classification. Data from two varied sources was combined. The data was oversampled using Synthetic Minority Over-Sampling technique from imblearn. The Deep CNN model was able to achieve a maximum of 93.57% accuracy while being tested on data from both data sources. Thus, Deep CNNs are able to classify brain MRI images from varied data sources with sufficient accuracy.