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

detalle del documento

IDENTIFICACIÓN

oai:arXiv.org:2302.01417

Tema

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

Autor

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

Categoría

Computer Science

Año

2023

fecha de cotización

22/2/2023

Palabras clave

disease computer brain alzheimer

Métrico

Resumen

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