A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images

Document detail

ID

oai:arXiv.org:2302.01417

Topic

Computer Science - Machine Learnin... Computer Science - Computer Vision...

Author

Pellakur, Shrish Elsayed, Nelly ElSayed, Zag Ozer, Murat

Year

2023

listing date

2/22/2023

Keywords

disease computer brain alzheimer

Metrics

Abstract

Alzheimer's disease is a degenerative brain disease.

Being the primary cause of Dementia in adults and progressively destroys brain memory.

Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will help reduce the severity of the disease.

Thus, early diagnosis of Alzheimer's could help to reduce or stop the disease from progressing.

In this paper, we proposed a deep convolutional neural network-based model for learning model using to determine the stage of Dementia in adults based on the Magnetic Resonance Imaging (MRI) images to detect the early onset of Alzheimer's.

;Comment: Short paper, Under Review in FLAIRS-36

Pellakur, Shrish,Elsayed, Nelly,ElSayed, Zag,Ozer, Murat, 2023, A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images