Neural Networks for Early Diagnosis of Alzheimer’s Disease Based on Brain Images

DOI

10.2991/978-94-6463-823-3_54How to use a DOI?

Keywords

Alzheimer’s Disease; Neural Network; Convolutional Neural Network; Deep Learning; Early Diagnosis; Brain Imaging

Abstract

Alzheimer’s disease is known as a terminal illnesses for old people, AD is a slow-progressing disease seriously affects the quality of life of patients. With the aging of the population, early detection of AD has become particularly important. In recent years, the application of deep learning technologies, especially neural networks, in the area of medical image has demonstrated its great potential in the early detection of AD. In this paper, we will discuss the early detection of AD based on neural networks, focusing on the analysis of the practical application of CNN, and RNN and their advantages and disadvantages of the map, comparing the accuracy rate of the different teams in the actual application, and analyzing the more excellent neural network models, In addition, the article will also discuss the current neural network in the field of application of the challenges faced by the field In addition, the article will also discuss some challenges faced by current neural network applications in this field, such as insufficient training data, weak model generalization ability, poor interpretability, etc., and try to put forward feasible improvement schemes, including multimodal data fusion, lightweight model design and interpretability enhancement, and other strategies. Finally, this paper will look forward to the future development of neural networks in the early detection of AD, hoping to provide theoretical support and technical reference for subsequent related research.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Haoxuan Xu
PY  - 2025
DA  - 2025/08/31
TI  - Neural Networks for Early Diagnosis of Alzheimer’s Disease Based on Brain Images
BT  - Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
PB  - Atlantis Press
SP  - 538
EP  - 547
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-823-3_54
DO  - 10.2991/978-94-6463-823-3_54
ID  - Xu2025
ER  -