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

arXiv: https://arxiv.org/abs/2302.01417 · HTML: https://mlsanity.com/paper/2302.01417/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 32 references that are in the map.
- First posted on arXiv 2 Feb 2023.

## Builds on (most cited first, 1 of 1)

- [Early Prediction of Epilepsy Seizures VLSI BCI System](https://mlsanity.com/paper/1906.02894/) (2019)

## Built on by (most cited first, 1 of 1)

- [Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging](https://mlsanity.com/paper/2507.09731/) (2025)

## Abstract (arXiv)

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.